Pi School
Pi School is a centre of excellence for artificial intelligence, working with SMEs and global institutions such as ESA and the European Commission.
Pi School of AI Session 18 - Call for Challenges - Pi School - Machine Intelligence meets Human Creativity
Pi School of AI Session 18 - Call for Challenges - Pi School - Machine Intelligence meets Human Creativity
GitHub - danveloper/flash-moe: Running a big model on a small laptop · GitHub
GitHub - danveloper/flash-moe: Running a big model on a small laptop · GitHub
Running a big model on a small laptop. Contribute to danveloper/flash-moe development by creating an account on GitHub.
GitHub - MaxGfeller/open-harness: A code-first, composable SDK to build powerful AI agents · GitHub
GitHub - MaxGfeller/open-harness: A code-first, composable SDK to build powerful AI agents · GitHub
A code-first, composable SDK to build powerful AI agents - MaxGfeller/open-harness
[2603.19220] Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
[2603.19220] Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Abstract page for arXiv paper 2603.19220: Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
Growth & Digital Marketing Manager - Pi School - Machine Intelligence meets Human Creativity
Growth & Digital Marketing Manager - Pi School - Machine Intelligence meets Human Creativity
Are you a digital marketer who speaks AI? Pi School is looking for a growth expert to turn frontier research into measurable impact. Rome-based role.
Digital Content Intern - English native
Digital Content Intern - English native
Pi School is looking for a Digital Content Intern to join our Communication & Marketing team in Rome, EUR.
Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab - Google Developers Blog
Announcing the Colab MCP Server: Connect Any AI Agent to Google Colab - Google Developers Blog
When you’re prototyping locally with AI agents like Gemini CLI, Claude Code, or your own agent, thei...
[2602.17665v1] OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents
[2602.17665v1] OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents
Abstract page for arXiv paper 2602.17665v1: OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents
Introducing Mistral Small 4 | Mistral AI
Introducing Mistral Small 4 | Mistral AI
Software Engineer ML Systems - Pi School - Machine Intelligence meets Human Creativity
Software Engineer ML Systems - Pi School - Machine Intelligence meets Human Creativity
We are looking for a Software Engineer ML Systems to work in our office in Rome.
[2603.07444] HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
[2603.07444] HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
Abstract page for arXiv paper 2603.07444: HLER: Human-in-the-Loop Economic Research via Multi-Agent Pipelines for Empirical Discovery
[2603.08655] OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
[2603.08655] OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
Abstract page for arXiv paper 2603.08655: OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
[2603.08640] PostTrainBench: Can LLM Agents Automate LLM Post-Training?
[2603.08640] PostTrainBench: Can LLM Agents Automate LLM Post-Training?
Abstract page for arXiv paper 2603.08640: PostTrainBench: Can LLM Agents Automate LLM Post-Training?
HackParty 2026 · Luma
HackParty 2026 · Luma
About the HackParty Hosted by Pi Campus, a VC firm that invests in early-stage AI startups, and organized together with Humans.tech, a tech firm delivering…
[2601.21343] Self-Improving Pretraining: using post-trained models to pretrain better models
[2601.21343] Self-Improving Pretraining: using post-trained models to pretrain better models
Abstract page for arXiv paper 2601.21343: Self-Improving Pretraining: using post-trained models to pretrain better models
[2602.04118] Learning to Reason in 13 Parameters
[2602.04118] Learning to Reason in 13 Parameters
Recent research has shown that language models can learn to \textit{reason}, often via reinforcement learning. Some work even trains low-rank parameterizations for reasoning, but conventional LoRA cannot scale below the model dimension. We question whether even rank=1 LoRA is necessary for learning to reason and propose TinyLoRA, a method for scaling low-rank adapters to sizes as small as one parameter. Within our new parameterization, we are able to train the 8B parameter size of Qwen2.5 to 91\% accuracy on GSM8K with only 13 trained parameters in bf16 (26 total bytes). We find this trend holds in general: we are able to recover 90\% of performance improvements while training $1000x$ fewer parameters across a suite of more difficult learning-to-reason benchmarks such as AIME, AMC, and MATH500. Notably, we are only able to achieve such strong performance with RL: models trained using SFT require $100-1000x$ larger updates to reach the same performance.
[2602.11865] Intelligent AI Delegation
[2602.11865] Intelligent AI Delegation
AI agents are able to tackle increasingly complex tasks. To achieve more ambitious goals, AI agents need to be able to meaningfully decompose problems into manageable sub-components, and safely delegate their completion across to other AI agents and humans alike. Yet, existing task decomposition and delegation methods rely on simple heuristics, and are not able to dynamically adapt to environmental changes and robustly handle unexpected failures. Here we propose an adaptive framework for intelligent AI delegation - a sequence of decisions involving task allocation, that also incorporates transfer of authority, responsibility, accountability, clear specifications regarding roles and boundaries, clarity of intent, and mechanisms for establishing trust between the two (or more) parties. The proposed framework is applicable to both human and AI delegators and delegatees in complex delegation networks, aiming to inform the development of protocols in the emerging agentic web.
[2601.08808] Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
[2601.08808] Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
Abstract page for arXiv paper 2601.08808: Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
GitHub - NVIDIA/personaplex: PersonaPlex code.
GitHub - NVIDIA/personaplex: PersonaPlex code.
PersonaPlex code. Contribute to NVIDIA/personaplex development by creating an account on GitHub.
PERSONAPLEX: VOICE AND ROLE CONTROL FOR FULL DUPLEX CONVERSATIONAL SPEECH MODELS
PERSONAPLEX: VOICE AND ROLE CONTROL FOR FULL DUPLEX CONVERSATIONAL SPEECH MODELS
[2512.14982] Prompt Repetition Improves Non-Reasoning LLMs
[2512.14982] Prompt Repetition Improves Non-Reasoning LLMs
AI-Powered Refactoring Assistant Case Study | Pi School of AI - Pi School - Machine Intelligence meets Human Creativity
AI-Powered Refactoring Assistant Case Study | Pi School of AI - Pi School - Machine Intelligence meets Human Creativity
Pitch Day - Pi School of AI Session 17 - Pi School - Machine Intelligence meets Human Creativity
Pitch Day - Pi School of AI Session 17 - Pi School - Machine Intelligence meets Human Creativity
[2512.16856] Distributional AGI Safety
[2512.16856] Distributional AGI Safety
Next-Embedding Prediction Makes Strong Vision Learners
Next-Embedding Prediction Makes Strong Vision Learners
[2512.16649] JustRL: Scaling a 1.5B LLM with a Simple RL Recipe
[2512.16649] JustRL: Scaling a 1.5B LLM with a Simple RL Recipe
AI Coach – Pi School of AI - Pi School - Machine Intelligence meets Human Creativity
AI Coach – Pi School of AI - Pi School - Machine Intelligence meets Human Creativity
Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
Beyond RAG for Agent Memory: Retrieval by Decoupling and Aggregation
[2507.18546] GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface
[2507.18546] GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface
[2601.08584] Ministral 3
[2601.08584] Ministral 3
Squeezing 1TB Model Rollout into a Single H200: INT4 QAT RL End-to-End Practice | LMSYS Org
Squeezing 1TB Model Rollout into a Single H200: INT4 QAT RL End-to-End Practice | LMSYS Org
Kimi K2.5: Visual Agentic Intelligence | Technical Report
Kimi K2.5: Visual Agentic Intelligence | Technical Report
[2601.12538] Agentic Reasoning for Large Language Models
[2601.12538] Agentic Reasoning for Large Language Models
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
GitHub - VectorSpaceLab/MegaPairs: [ACL 2025 Oral] 🔥🔥 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval
GitHub - VectorSpaceLab/MegaPairs: [ACL 2025 Oral] 🔥🔥 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval
[2505.10468] AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
[2505.10468] AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
OlmoEarth: StableLatentImageModeling for Multimodal Earth Observation
OlmoEarth: StableLatentImageModeling for Multimodal Earth Observation
Pitch Day - Pi School of AI Session 17 - Pi School - Machine Intelligence meets Human Creativity
Pitch Day - Pi School of AI Session 17 - Pi School - Machine Intelligence meets Human Creativity
On the Fundamental Limits of LLMs at Scale
On the Fundamental Limits of LLMs at Scale
[2505.03997] Quiet Feature Learning in Algorithmic Tasks
[2505.03997] Quiet Feature Learning in Algorithmic Tasks
[2512.08296] Towards a Science of Scaling Agent Systems
[2512.08296] Towards a Science of Scaling Agent Systems
Accelerating Daikin Europe’s sales operations through document intelligence - Pi School - Machine Intelligence meets Human Creativity
Accelerating Daikin Europe’s sales operations through document intelligence - Pi School - Machine Intelligence meets Human Creativity
The Art of Scaling Test-Time Compute for Large Language Models
The Art of Scaling Test-Time Compute for Large Language Models
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
𝐐𝐰𝐞𝐧𝟑-𝐕𝐋 𝐢𝐬 𝐡𝐞𝐫𝐞, 𝐚𝐧𝐝 𝐢𝐭 𝐫𝐚𝐢𝐬𝐞𝐬 𝐭𝐡𝐞 𝐛𝐚𝐫 𝐟𝐨𝐫 𝐦𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐈
𝐐𝐰𝐞𝐧𝟑-𝐕𝐋 𝐢𝐬 𝐡𝐞𝐫𝐞, 𝐚𝐧𝐝 𝐢𝐭 𝐫𝐚𝐢𝐬𝐞𝐬 𝐭𝐡𝐞 𝐛𝐚𝐫 𝐟𝐨𝐫 𝐦𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐈
Marble Labs | World Labs
Marble Labs | World Labs
Introducing Nested Learning: A new ML paradigm for continual learning
Introducing Nested Learning: A new ML paradigm for continual learning
[2510.15511] Language Models are Injective and Hence Invertible
[2510.15511] Language Models are Injective and Hence Invertible
How to move from pilots to ROI in 8 weeks - Pi School - Machine Intelligence meets Human Creativity
How to move from pilots to ROI in 8 weeks - Pi School - Machine Intelligence meets Human Creativity
Code execution with MCP: building more efficient AI agents \ Anthropic
Code execution with MCP: building more efficient AI agents \ Anthropic
GitHub - VectifyAI/PageIndex: 📑 PageIndex: Document Index for Reasoning-based RAG
GitHub - VectifyAI/PageIndex: 📑 PageIndex: Document Index for Reasoning-based RAG
Gemini 3 - Google DeepMind
Gemini 3 - Google DeepMind
Use Cases | Claude
Use Cases | Claude
baidu/ERNIE-4.5-VL-28B-A3B-Thinking · Hugging Face
baidu/ERNIE-4.5-VL-28B-A3B-Thinking · Hugging Face
moonshotai/Kimi-K2-Thinking · Hugging Face
moonshotai/Kimi-K2-Thinking · Hugging Face
Scaling Large Language Models for Next-Generation Single-Cell Analysis | bioRxiv
Scaling Large Language Models for Next-Generation Single-Cell Analysis | bioRxiv
[2510.15103] Continual Learning via Sparse Memory Finetuning
[2510.15103] Continual Learning via Sparse Memory Finetuning
Emergent Introspective Awareness in Large Language Models
Emergent Introspective Awareness in Large Language Models
[2510.19808] Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing
[2510.19808] Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing
Collective Communication for 100k+ GPUs
Collective Communication for 100k+ GPUs
DeepSeek AI | Leading AI Language Models & Solutions
DeepSeek AI | Leading AI Language Models & Solutions
Register for the EVE pilot
Register for the EVE pilot
New tool makes generative AI models more likely to create breakthrough materials | MIT News | Massachusetts Institute of Technology
New tool makes generative AI models more likely to create breakthrough materials | MIT News | Massachusetts Institute of Technology
Qwen
Qwen
Google’s Gemma AI model helps discover new potential cancer therapy pathway
Google’s Gemma AI model helps discover new potential cancer therapy pathway
GitHub - zhengkid/Parallel-R1: The offical repo for "Parallel-R1: Towards Parallel Thinking via Reinforcement Learning"
GitHub - zhengkid/Parallel-R1: The offical repo for "Parallel-R1: Towards Parallel Thinking via Reinforcement Learning"
GitHub - HKUDS/RAG-Anything: "RAG-Anything: All-in-One RAG Framework"
GitHub - HKUDS/RAG-Anything: "RAG-Anything: All-in-One RAG Framework"
GitHub - HKUDS/LightReasoner: "LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
GitHub - HKUDS/LightReasoner: "LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
Data & AI Conference Europe 2025 - IRM UK
Data & AI Conference Europe 2025 - IRM UK
On the Theoretical Limitations of Embedding-Based Retrieval | alphaXiv
On the Theoretical Limitations of Embedding-Based Retrieval | alphaXiv
[2509.01092] REFRAG: Rethinking RAG based Decoding
[2509.01092] REFRAG: Rethinking RAG based Decoding
Contextual Retrieval in AI Systems \ Anthropic
Contextual Retrieval in AI Systems \ Anthropic
Copywriter & Content Manager - English Native
Copywriter & Content Manager - English Native
Contact Pi School
Contact Pi School
Pitch Day! - Pi School of AI Session 16
Pitch Day! - Pi School of AI Session 16
Register for the EVE Pilot Programme
Register for the EVE Pilot Programme
Project Go-Big: Internet-Scale Humanoid Pretraining and Direct Human-to-Robot Transfer
Project Go-Big: Internet-Scale Humanoid Pretraining and Direct Human-to-Robot Transfer
Frontier Safety Framework
Frontier Safety Framework
TorchAO Quantized Models and Quantization Recipes Now Available on HuggingFace Hub – PyTorch
TorchAO Quantized Models and Quantization Recipes Now Available on HuggingFace Hub – PyTorch
Pitch - Why and How to Startup
Pitch - Why and How to Startup
How Much Do Encoder Models Know About Word Senses?
How Much Do Encoder Models Know About Word Senses?
[2411.04847] Prompt-Guided Internal States for Hallucination Detection of Large Language Models
[2411.04847] Prompt-Guided Internal States for Hallucination Detection of Large Language Models
3D Aware Region Prompted Vision Language Model
3D Aware Region Prompted Vision Language Model
[2508.02694] Efficient Agents: Building Effective Agents While Reducing Cost
[2508.02694] Efficient Agents: Building Effective Agents While Reducing Cost
[2508.09834] Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
[2508.09834] Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
[2508.07407] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
[2508.07407] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐏𝐢 𝐒𝐜𝐡𝐨𝐨𝐥 𝐨𝐟 𝐀𝐈 𝐚𝐫𝐞 𝐬𝐭𝐢𝐥𝐥 𝐨𝐩𝐞𝐧! Apply!
𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐨 𝐏𝐢 𝐒𝐜𝐡𝐨𝐨𝐥 𝐨𝐟 𝐀𝐈 𝐚𝐫𝐞 𝐬𝐭𝐢𝐥𝐥 𝐨𝐩𝐞𝐧! Apply!
pischool.link
pischool.link
Two in-house models in support of our mission | Microsoft AI
Two in-house models in support of our mission | Microsoft AI
Grok Code Fast 1 | xAI
Grok Code Fast 1 | xAI
𝐀𝐮𝐭𝐨𝐌𝐢𝐧 𝟐𝟎𝟐𝟓 𝐤𝐞𝐲𝐧𝐨𝐭𝐞 𝐬𝐩𝐞𝐞𝐜𝐡 𝐟𝐫𝐨𝐦 𝐒𝐞́𝐛𝐚𝐬𝐭𝐢𝐞𝐧 𝐁𝐫𝐚𝐭𝐢𝐞̀𝐫𝐞𝐬
𝐀𝐮𝐭𝐨𝐌𝐢𝐧 𝟐𝟎𝟐𝟓 𝐤𝐞𝐲𝐧𝐨𝐭𝐞 𝐬𝐩𝐞𝐞𝐜𝐡 𝐟𝐫𝐨𝐦 𝐒𝐞́𝐛𝐚𝐬𝐭𝐢𝐞𝐧 𝐁𝐫𝐚𝐭𝐢𝐞̀𝐫𝐞𝐬
Pi School of AI Pitch Day Session 16 -
Pi School of AI Pitch Day Session 16 -
Interspeech 2025 - Livestream
Interspeech 2025 - Livestream
The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
ResearchCodeBench: Benchmarking LLMs on Implementing Novel Machine Learning Research Code
GitHub - wanghuacan/RepoMaster
GitHub - wanghuacan/RepoMaster
School of Artificial Intelligence
School of Artificial Intelligence
AI for Business
AI for Business
Pi School of AI Pitch Day Session 16 -
Pi School of AI Pitch Day Session 16 -
Pi School of AI Pitch Day Session 16 -
Pi School of AI Pitch Day Session 16 -
Paper page - FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
Paper page - FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language
How we built our multi-agent research system
How we built our multi-agent research system
Small Language Models are the Future of Agentic AI
Small Language Models are the Future of Agentic AI
Kimi K2: Open Agentic Intelligence
Kimi K2: Open Agentic Intelligence
Context Rot: How Increasing Input Tokens Impacts LLM Performance
Context Rot: How Increasing Input Tokens Impacts LLM Performance
Voxtral | Mistral AI
Voxtral | Mistral AI
Efficient neural coding under resource constraints
Efficient neural coding under resource constraints
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text Corpora
pischool.link
pischool.link
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Self-Adapting Language Models
Self-Adapting Language Models
How do we connect speech foundation models and large language models? What matters and what does not.
How do we connect speech foundation models and large language models? What matters and what does not.
Efficient Magic State Distillation by Zero-Level Distillation
Efficient Magic State Distillation by Zero-Level Distillation
Microsoft’s Aurora AI foundation model goes beyond weather forecasting
Microsoft’s Aurora AI foundation model goes beyond weather forecasting
Introducing V-JEPA 2
Introducing V-JEPA 2
From Code to Stories: Live AI Challenges with Edoardo Serra -
From Code to Stories: Live AI Challenges with Edoardo Serra -
Models.dev — An open-source database of AI models
Models.dev — An open-source database of AI models
Add MCP-Compatible Spaces to Your Tools
Add MCP-Compatible Spaces to Your Tools
PROMPTS are an API primitive now
PROMPTS are an API primitive now
Re-evaluating Open-ended Evaluation of Large Language Model
Re-evaluating Open-ended Evaluation of Large Language Model
GitHub - microsoft/presidio: An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
GitHub - microsoft/presidio: An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Applied AI Research Projects - Pi School - Machine Intelligence meets Human Creativity
Applied AI Research Projects - Pi School - Machine Intelligence meets Human Creativity
How much do language models memorize?
How much do language models memorize?
Impromptu VLA
Impromptu VLA
Building Effective AI Agents
Building Effective AI Agents
We are hiring - Deep Learning Scientist Junior / Senior
We are hiring - Deep Learning Scientist Junior / Senior
Codestral Embed | Mistral AI
Codestral Embed | Mistral AI
Vision as LoRA
Vision as LoRA
RAG is dead, long live agentic retrieval — LlamaIndex - Build Knowledge Assistants over your Enterprise Data
RAG is dead, long live agentic retrieval — LlamaIndex - Build Knowledge Assistants over your Enterprise Data
AI Agent Bootcamp: Building, Configuring, and Deploying with Python
AI Agent Bootcamp: Building, Configuring, and Deploying with Python
Tina: Tiny Reasoning Models via LoRA
Tina: Tiny Reasoning Models via LoRA
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges
Full-stack developer freelance
Full-stack developer freelance
Computer Agent - a Hugging Face Space by smolagents
Computer Agent - a Hugging Face Space by smolagents
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
Trallie - Transfer learning for information extraction
Trallie - Transfer learning for information extraction
From AI tools to Teammates
From AI tools to Teammates
GitHub - kvcache-ai/ktransformers: A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
GitHub - kvcache-ai/ktransformers: A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations
Introducing web search on the Anthropic API
Introducing web search on the Anthropic API
LoRACode: LoRA Adapters for Code Embeddings
LoRACode: LoRA Adapters for Code Embeddings
Participation and Registration - ESA-NASA International workshop on AI Foundation Model for Earth Observation
Participation and Registration - ESA-NASA International workshop on AI Foundation Model for Earth Observation
Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family
Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Qwen3: Think Deeper, Act Faster
Qwen3: Think Deeper, Act Faster
AI-powered Operations Manuals: Automating Knowledge for Smarter, Scalable Workflows
AI-powered Operations Manuals: Automating Knowledge for Smarter, Scalable Workflows
Seaweed
Seaweed
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement
BrowseComp: a benchmark for browsing agents
BrowseComp: a benchmark for browsing agents
StandUp Meeting #9 - NGI Search
StandUp Meeting #9 - NGI Search
Trallie: Shaping Unstructured Data into Valuable Information - Pi School - Machine Intelligence meets Human Creativity
Trallie: Shaping Unstructured Data into Valuable Information - Pi School - Machine Intelligence meets Human Creativity
Video Motion Graphs
Video Motion Graphs
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
SpatialLM: Large Language Model for Spatial Understanding
SpatialLM: Large Language Model for Spatial Understanding
Web Content and Design Intern
Web Content and Design Intern
Fine-tuning Gemma 2 for Italian and beyond - Tech Talk with Stefano Fiorucci
Fine-tuning Gemma 2 for Italian and beyond - Tech Talk with Stefano Fiorucci
Transforming Document Processing with AI - Pi School - Machine Intelligence meets Human Creativity
Transforming Document Processing with AI - Pi School - Machine Intelligence meets Human Creativity
Traveling Waves Integrate Spatial Information Through Time
Traveling Waves Integrate Spatial Information Through Time
A Review of DeepSeek Models' Key Innovative Techniques
A Review of DeepSeek Models' Key Innovative Techniques
A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations - Nature Human Behaviour
A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations - Nature Human Behaviour
Qwen/Qwen2.5-Omni-7B · Hugging Face
Qwen/Qwen2.5-Omni-7B · Hugging Face
Gemini 2.5: Our most intelligent AI model
Gemini 2.5: Our most intelligent AI model
Introducing 4o Image Generation
Introducing 4o Image Generation
AI for Business
AI for Business
AI scientists are sceptical that modern models will lead to AGI
AI scientists are sceptical that modern models will lead to AGI
New tools for building agents
New tools for building agents
GTC 2025 – Announcements and Live Updates
GTC 2025 – Announcements and Live Updates
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging
pischool.link
pischool.link
Humanity's Last Exam
Humanity's Last Exam
Bridging the Gap: Alexander Waibel's Insights on Translating Science into Business
Bridging the Gap: Alexander Waibel's Insights on Translating Science into Business
AI for Business
AI for Business
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Aya Vision: Expanding the worlds AI can see
Aya Vision: Expanding the worlds AI can see
QwQ-32B: Embracing the Power of Reinforcement Learning
QwQ-32B: Embracing the Power of Reinforcement Learning
Welcome to the ESA Φ-lab Collaborative Innovation Network
Welcome to the ESA Φ-lab Collaborative Innovation Network
AI for Business
AI for Business
Claude Code overview - Anthropic
Claude Code overview - Anthropic
GitHub - sunsmarterjie/yolov12: YOLOv12: Attention-Centric Real-Time Object Detectors
GitHub - sunsmarterjie/yolov12: YOLOv12: Attention-Centric Real-Time Object Detectors
GitHub - bminixhofer/zett: Code for Zero-Shot Tokenizer Transfer
GitHub - bminixhofer/zett: Code for Zero-Shot Tokenizer Transfer
Tech talk with Claudio Giovannoni
Tech talk with Claudio Giovannoni
Manuscript | Arc Institute
Manuscript | Arc Institute
Qwen2.5-VL Technical Report
Qwen2.5-VL Technical Report
The Ultra-Scale Playbook - a Hugging Face Space by nanotron
The Ultra-Scale Playbook - a Hugging Face Space by nanotron
open-r1/OpenR1-Math-220k · Datasets at Hugging Face
open-r1/OpenR1-Math-220k · Datasets at Hugging Face
CursorCore: Assist Programming through Aligning Anything
CursorCore: Assist Programming through Aligning Anything
Welcome to the 🤗 AI Agents Course - Hugging Face Agents Course
Welcome to the 🤗 AI Agents Course - Hugging Face Agents Course
Pi School of AI Session 15 Pitch Day
Pi School of AI Session 15 Pitch Day
Retrieval-Augmented Generation with Graphs (GraphRAG)
Retrieval-Augmented Generation with Graphs (GraphRAG)
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
Google Colab
Google Colab
Innovation and Collaboration for a Better Future: Unlocking the Potential of Virtual Human Twins in Healthcare
Innovation and Collaboration for a Better Future: Unlocking the Potential of Virtual Human Twins in Healthcare
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning
From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning
GitHub - MinishLab/model2vec: The Fastest State-of-the-Art Static Embeddings in the World
GitHub - MinishLab/model2vec: The Fastest State-of-the-Art Static Embeddings in the World
Introducing Operator
Introducing Operator
Fine-tuning Gemma 2 for Italian and beyond - Pi School - Machine Intelligence meets Human Creativity
Fine-tuning Gemma 2 for Italian and beyond - Pi School - Machine Intelligence meets Human Creativity
Pi School of AI Session 15 Pitch Day
Pi School of AI Session 15 Pitch Day
GitHub - deepseek-ai/DeepSeek-R1
GitHub - deepseek-ai/DeepSeek-R1
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
Foundations of Large Language Models
Foundations of Large Language Models
Pi School of AI Session 15 Pitch Day
Pi School of AI Session 15 Pitch Day
T3 Chat - The Fastest AI Chatbot
T3 Chat - The Fastest AI Chatbot
GitHub - qianlima-lab/awesome-lifelong-llm-agent: This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
GitHub - qianlima-lab/awesome-lifelong-llm-agent: This repository collects awesome survey, resource, and paper for lifelong learning LLM agents
Agents
Agents
Wait, I can explain! Personalised Explanations with Multimodal and Explainable AI - Pi School - Machine Intelligence meets Human Creativity
Wait, I can explain! Personalised Explanations with Multimodal and Explainable AI - Pi School - Machine Intelligence meets Human Creativity
𝐀𝐫𝐞 𝐲𝐨𝐮 𝐚𝐧 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐰𝐢𝐭𝐡 𝐚 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐭𝐡𝐚𝐭 𝐀𝐈 𝐜𝐚𝐧 𝐬𝐨𝐥𝐯𝐞? Let's talk about it! Your challenge could be selected for the next Pi School of AI session.
𝐀𝐫𝐞 𝐲𝐨𝐮 𝐚𝐧 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐰𝐢𝐭𝐡 𝐚 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 𝐭𝐡𝐚𝐭 𝐀𝐈 𝐜𝐚𝐧 𝐬𝐨𝐥𝐯𝐞? Let's talk about it! Your challenge could be selected for the next Pi School of AI session.
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
pischool.link
pischool.link
Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models
GitHub - PolymathicAI/the_well: A 15TB Collection of Physics Simulation Datasets
GitHub - PolymathicAI/the_well: A 15TB Collection of Physics Simulation Datasets
GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.
GitHub - Genesis-Embodied-AI/Genesis: A generative world for general-purpose robotics & embodied AI learning.
Upskill in AI and unlock your 2024 budget!
Upskill in AI and unlock your 2024 budget!
HunyuanVideo: A Systematic Framework For Large Video Generative Models
HunyuanVideo: A Systematic Framework For Large Video Generative Models
meta-llama/Llama-3.3-70B-Instruct · Hugging Face
meta-llama/Llama-3.3-70B-Instruct · Hugging Face
Maya: An Instruction Finetuned Multilingual Multimodal Model
Maya: An Instruction Finetuned Multilingual Multimodal Model
Unlocking the potential of Large Language Models - Pi School - Machine Intelligence meets Human Creativity
Unlocking the potential of Large Language Models - Pi School - Machine Intelligence meets Human Creativity
𝐉𝐨𝐢𝐧 𝐮𝐬 𝐭𝐨𝐝𝐚𝐲 𝐚𝐭 𝟏𝟖:𝟎𝟎 𝐂𝐄𝐒𝐓 𝐟𝐨𝐫 𝐚𝐧 𝐨𝐧𝐥𝐢𝐧𝐞 𝐰𝐞𝐛𝐢𝐧𝐚𝐫 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐋𝐋𝐌𝐬
𝐉𝐨𝐢𝐧 𝐮𝐬 𝐭𝐨𝐝𝐚𝐲 𝐚𝐭 𝟏𝟖:𝟎𝟎 𝐂𝐄𝐒𝐓 𝐟𝐨𝐫 𝐚𝐧 𝐨𝐧𝐥𝐢𝐧𝐞 𝐰𝐞𝐛𝐢𝐧𝐚𝐫 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐋𝐋𝐌𝐬
GitHub - Chen-Yang-Liu/Awesome-RS-Temporal-VLM: A Comprehensive Survey on Remote Sensing Temporal Vision-Language Models
GitHub - Chen-Yang-Liu/Awesome-RS-Temporal-VLM: A Comprehensive Survey on Remote Sensing Temporal Vision-Language Models
Introducing PaliGemma 2: Powerful Vision-Language Models, Simple Fine-Tuning- Google Developers Blog
Introducing PaliGemma 2: Powerful Vision-Language Models, Simple Fine-Tuning- Google Developers Blog
Unlocking the potential of Large Language Models - Pi School - Machine Intelligence meets Human Creativity
Unlocking the potential of Large Language Models - Pi School - Machine Intelligence meets Human Creativity
Mastering LLMs for Marketing - Pi School
Mastering LLMs for Marketing - Pi School
OLMo 2: The best fully open language model to date | Ai2
OLMo 2: The best fully open language model to date | Ai2
Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations
Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations
GitHub - NVIDIA/Star-Attention: Efficient LLM Inference over Long Sequences
GitHub - NVIDIA/Star-Attention: Efficient LLM Inference over Long Sequences
Mastering LLMs for Marketing - Pi School
Mastering LLMs for Marketing - Pi School
Unlock the power of large language models with Pi School
Unlock the power of large language models with Pi School
The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation
The Virtual Lab: AI Agents Design New SARS-CoV-2 Nanobodies with Experimental Validation
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
LLaVA-o1: Let Vision Language Models Reason Step-by-Step
pischool.link
pischool.link
Apply for Pi School of AI Session 15
Apply for Pi School of AI Session 15
Empowering Decision-Making with LLMs
Empowering Decision-Making with LLMs
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
GitHub - openai/swarm: Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
GitHub - openai/swarm: Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Thinking LLMs: General Instruction Following with Thought Generation
Thinking LLMs: General Instruction Following with Thought Generation
The Geometry of Concepts: Sparse Autoencoder Feature Structure
The Geometry of Concepts: Sparse Autoencoder Feature Structure
Operations and Administrative Coordinator - Pi School - Machine Intelligence meets Human Creativity
Operations and Administrative Coordinator - Pi School - Machine Intelligence meets Human Creativity
ai-PULSE 2024: November 7 2024, Station F, Paris
ai-PULSE 2024: November 7 2024, Station F, Paris
LLM researcher for the EVE European Space Agency project on Earth Observation and Earth Science - Pi School - Machine Intelligence meets Human Creativity
LLM researcher for the EVE European Space Agency project on Earth Observation and Earth Science - Pi School - Machine Intelligence meets Human Creativity
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
CompassJudger-1: All-in-one Judge Model Helps Model Evaluation and Evolution
Introducing SimpleQA
Introducing SimpleQA
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
GitHub - LambdaLabsML/distributed-training-guide: Best practices & guides on how to write distributed pytorch training code
GitHub - LambdaLabsML/distributed-training-guide: Best practices & guides on how to write distributed pytorch training code
llama-3_1-nemotron-70b-instruct | NVIDIA NIM
llama-3_1-nemotron-70b-instruct | NVIDIA NIM
Meta Movie Gen
Meta Movie Gen
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
Stay up to date on the EDITH CSA driving the Digital Twins
Stay up to date on the EDITH CSA driving the Digital Twins
ENTP: Encoder-only Next Token Prediction
ENTP: Encoder-only Next Token Prediction
IBM and NASA’s versatile AI model for weather and climate
IBM and NASA’s versatile AI model for weather and climate
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
NotebookLM | Note Taking & Research Assistant Powered by AI
NotebookLM | Note Taking & Research Assistant Powered by AI
nvidia/NVLM-D-72B · Hugging Face
nvidia/NVLM-D-72B · Hugging Face
Cross Capabilities of LLMs
Cross Capabilities of LLMs
Advancing Wildfire Detection and Risk Prediction from Ground to Orbit
Advancing Wildfire Detection and Risk Prediction from Ground to Orbit
GitHub - Quehry/HelloBench: Code and data repository for HelloBench and HelloEval
GitHub - Quehry/HelloBench: Code and data repository for HelloBench and HelloEval
GitHub - unclecode/crawl4ai: 🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
GitHub - unclecode/crawl4ai: 🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
Overview - Managing Artificial Intelligence
Overview - Managing Artificial Intelligence
To Code, or Not To Code? Exploring Impact of Code in Pre-training
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Learning to Reason with LLMs
Learning to Reason with LLMs
In Defense of RAG in the Era of Long-Context Language Models
In Defense of RAG in the Era of Long-Context Language Models
Affiliate Programme - Pi School of AI
Affiliate Programme - Pi School of AI
Generation Constraint Scaling Can Mitigate Hallucination
Generation Constraint Scaling Can Mitigate Hallucination
Foundation Models for Music: A Survey
Foundation Models for Music: A Survey
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Generative AI in Business | Webinar Luiss Business School
Generative AI in Business | Webinar Luiss Business School
AI-Powered Thermal Earth Observation: Advancing Wildfire Detection and Risk Prediction from Ground to Orbit
AI-Powered Thermal Earth Observation: Advancing Wildfire Detection and Risk Prediction from Ground to Orbit
Advancing Wildfire Forecasting using Explainable AI - YouTube
Advancing Wildfire Forecasting using Explainable AI - YouTube
Talk to us!
Talk to us!
Generative AI in Business | Webinar Luiss Business School
Generative AI in Business | Webinar Luiss Business School
Overview - Managing Artificial Intelligence
Overview - Managing Artificial Intelligence
Get in touch with us
Get in touch with us
Overview - Managing Artificial Intelligence
Overview - Managing Artificial Intelligence
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
Large Enough
Large Enough
GitHub - SylphAI-Inc/AdalFlow: AdalFlow: The Library for LLM Applications
GitHub - SylphAI-Inc/AdalFlow: AdalFlow: The Library for LLM Applications
In Codice Ratio - Pi School - Machine Intelligence meets Human Creativity
In Codice Ratio - Pi School - Machine Intelligence meets Human Creativity
Φ-lab leads the way for new ChatGPT-style tools for Earth observation | Φ-lab
Φ-lab leads the way for new ChatGPT-style tools for Earth observation | Φ-lab
Meta won’t release its multimodal Llama AI model in the EU
Meta won’t release its multimodal Llama AI model in the EU
Llama-Agentic-System
Llama-Agentic-System
Introducing Llama 3.1: Our most capable models to date
Introducing Llama 3.1: Our most capable models to date
Contact us
Contact us
Mistral NeMo
Mistral NeMo
Codestral Mamba
Codestral Mamba
MathΣtral
MathΣtral
Agnostic Sharpness-Aware Minimization
Agnostic Sharpness-Aware Minimization
A Universal Class of Sharpness-Aware Minimization Algorithms
A Universal Class of Sharpness-Aware Minimization Algorithms
Contact us!
Contact us!
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Scaling Synthetic Data Creation with 1,000,000,000 Personas
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
🦜🔗LangChain: Allow LLMs to interact with your code
🦜🔗LangChain: Allow LLMs to interact with your code
The Top 10 arXiv Papers About AI Agents | Deepgram
The Top 10 arXiv Papers About AI Agents | Deepgram
GitHub - run-llama/llama-agents
GitHub - run-llama/llama-agents
Building LLM Agents in Harmony
Building LLM Agents in Harmony
The Prompt Report: A Systematic Survey of Prompting Techniques
The Prompt Report: A Systematic Survey of Prompting Techniques
OLMo: Accelerating the Science of Language Models
OLMo: Accelerating the Science of Language Models
Gemma 2 is now available to researchers and developers
Gemma 2 is now available to researchers and developers
Pi School of AI — Experience
Pi School of AI — Experience
SIOS Summer 2024
SIOS Summer 2024
GitHub - EricLBuehler/mistral.rs: Blazingly fast LLM inference.
GitHub - EricLBuehler/mistral.rs: Blazingly fast LLM inference.
Together MoA — collective intelligence of open-source models pushing the frontier of LLM capabilities
Together MoA — collective intelligence of open-source models pushing the frontier of LLM capabilities
Predibase fine-tuned LoRAS Rival GPT-4
Predibase fine-tuned LoRAS Rival GPT-4
A quick guide to LLM inference
A quick guide to LLM inference
This is Wonderland | Pinocchio
This is Wonderland | Pinocchio
Pinocchio lives again thanks to AI in This is Wonderland - Back to the Wood - Pi School - Machine Intelligence meets Human Creativity
Pinocchio lives again thanks to AI in This is Wonderland - Back to the Wood - Pi School - Machine Intelligence meets Human Creativity
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Attribute First, then Generate: Locally-attributable Grounded Text Generation
Attribute First, then Generate: Locally-attributable Grounded Text Generation
Beam Search Visualizer - a Hugging Face Space by m-ric
Beam Search Visualizer - a Hugging Face Space by m-ric
We are hiring! Legal Intern - AI Compliance
We are hiring! Legal Intern - AI Compliance
GitHub - DataTalksClub/mlops-zoomcamp: Free MLOps course from DataTalks.Club
GitHub - DataTalksClub/mlops-zoomcamp: Free MLOps course from DataTalks.Club
MLOps Landscape in 2024: Top Tools and Platforms
MLOps Landscape in 2024: Top Tools and Platforms
Machine Learning Operations
Machine Learning Operations
microsoft/Phi-3-medium-128k-instruct · Hugging Face
microsoft/Phi-3-medium-128k-instruct · Hugging Face
Welcome to vLLM! — vLLM
Welcome to vLLM! — vLLM
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Affiliate Programme - Pi School of AI
Affiliate Programme - Pi School of AI
How can you make your mark in the LLMs market?
How can you make your mark in the LLMs market?
Improving Chatbot Effectiveness using Large Language Models
Improving Chatbot Effectiveness using Large Language Models
Designing efficient and modular neural networks
Designing efficient and modular neural networks
Senior LLMs Scientist - LLM4EO - Pi School - Machine Intelligence meets Human Creativity
Senior LLMs Scientist - LLM4EO - Pi School - Machine Intelligence meets Human Creativity
Farnese à la page | Institut français Italia | Roma
Farnese à la page | Institut français Italia | Roma
Pitch Day Pi School of AI Session 14
Pitch Day Pi School of AI Session 14
AI-driven Inventory Management Optimisation - Pi School - Machine Intelligence meets Human Creativity
AI-driven Inventory Management Optimisation - Pi School - Machine Intelligence meets Human Creativity
Apply for Pi School of AI Session 15
Apply for Pi School of AI Session 15
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Executive Programme - Managing Artificial Intelligence - Pi School - Machine Intelligence meets Human Creativity
Executive Programme - Managing Artificial Intelligence - Pi School - Machine Intelligence meets Human Creativity
Revolutionizing Retail with AI-Enhanced Stock Management
Revolutionizing Retail with AI-Enhanced Stock Management
Mentoring a Data Science Team Building Impactful Data Products
Mentoring a Data Science Team Building Impactful Data Products
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
AI Management: Sfide e Opportunità | Luiss Business School
AI Management: Sfide e Opportunità | Luiss Business School
AI for Reliability of Medical Literature - Pitch Day - School of AI Session 14
AI for Reliability of Medical Literature - Pitch Day - School of AI Session 14
Foundation models for speech Py4AI 2024
Foundation models for speech Py4AI 2024
Executive Programme Managing Artificial Intelligence
Executive Programme Managing Artificial Intelligence
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Senior LLMs Scientist - LLM4EO - Pi School - Machine Intelligence meets Human Creativity
Senior LLMs Scientist - LLM4EO - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Generative AI - Live Webinar -
Generative AI - Live Webinar -
Building Interactive Instruction Manuals with Large Language Models
Building Interactive Instruction Manuals with Large Language Models
Breaking Into The World of AI: Lessons Building an LLM Web App
Breaking Into The World of AI: Lessons Building an LLM Web App
Cat AI: Revolutionizing AI Assistant Development - Pi School - Machine Intelligence meets Human Creativity
Cat AI: Revolutionizing AI Assistant Development - Pi School - Machine Intelligence meets Human Creativity
Data Products and Data Driven Actionable Insights at Scale - Tech Talk with Adrian Buzatu
Data Products and Data Driven Actionable Insights at Scale - Tech Talk with Adrian Buzatu
Secure your spot for Pitch Day - Pi School of AI Session 14
Secure your spot for Pitch Day - Pi School of AI Session 14
Ready to be at the forefront of technology? Learn more about our courses here
Ready to be at the forefront of technology? Learn more about our courses here
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Reserve your seat for Pitch Day - Pi School of AI Session 14
Reserve your seat for Pitch Day - Pi School of AI Session 14
EDITH European Virtual Human Twin
EDITH European Virtual Human Twin
Reserve your seat for Pitch & Networking Day - Pi School of AI Session 14
Reserve your seat for Pitch & Networking Day - Pi School of AI Session 14
Cat AI: Revolutionizing AI Assistant Development - Pi School - Machine Intelligence meets Human Creativity
Cat AI: Revolutionizing AI Assistant Development - Pi School - Machine Intelligence meets Human Creativity
Pitch Day - Pi School of AI Session 14
Pitch Day - Pi School of AI Session 14
Data Products and Data-Driven Actionable Insights at Scale - Pi School - Machine Intelligence meets Human Creativity
Data Products and Data-Driven Actionable Insights at Scale - Pi School - Machine Intelligence meets Human Creativity
AI Agents: Exploring the Potential of Web-Enabled LLMs - Pi School - Machine Intelligence meets Human Creativity
AI Agents: Exploring the Potential of Web-Enabled LLMs - Pi School - Machine Intelligence meets Human Creativity
Robotics Meets Foundation Models - Pi School - Machine Intelligence meets Human Creativity
Robotics Meets Foundation Models - Pi School - Machine Intelligence meets Human Creativity
Building Business Products From AI Research
Building Business Products From AI Research
Pi School Collaborates with Orrick on a Financial Times Legal Innovation Award-Winning Data Solution
Pi School Collaborates with Orrick on a Financial Times Legal Innovation Award-Winning Data Solution
AI Agents: Exploring the Potential of Web-Enabled LLMs - Pi School - Machine Intelligence meets Human Creativity
AI Agents: Exploring the Potential of Web-Enabled LLMs - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme
Large Language Models Training Programme
Revolutionizing Inventory Management in Fair Trade Retail - Pi School - Machine Intelligence meets Human Creativity
Revolutionizing Inventory Management in Fair Trade Retail - Pi School - Machine Intelligence meets Human Creativity
Robotics Meets Foundation Models Tech Talk with Norman Di Palo
Robotics Meets Foundation Models Tech Talk with Norman Di Palo
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Large Language Models Training Programme - Pi School - Machine Intelligence meets Human Creativity
Join us for a night of innovation, competition, and networking!
Join us for a night of innovation, competition, and networking!
Revolutionizing Chatbot performance with Large Language Models - Pi School - Machine Intelligence meets Human Creativity
Revolutionizing Chatbot performance with Large Language Models - Pi School - Machine Intelligence meets Human Creativity
Become a mentor - Pi School of AI
Become a mentor - Pi School of AI
HackParty 2023: Pronti a sfidare i Large Language Models?
HackParty 2023: Pronti a sfidare i Large Language Models?
Pioneering Adaptive Machine Translation with Large Language Models
Pioneering Adaptive Machine Translation with Large Language Models
Navigating AI Model Context: Insights from OpenAI's Latest Updates - Pi School - Machine Intelligence meets Human Creativity
Navigating AI Model Context: Insights from OpenAI's Latest Updates - Pi School - Machine Intelligence meets Human Creativity
Apply for the School of Artificial Intelligence Session 14
Apply for the School of Artificial Intelligence Session 14
AI Travel Assistant: a case study of La Filanda - Pi School - Machine Intelligence meets Human Creativity
AI Travel Assistant: a case study of La Filanda - Pi School - Machine Intelligence meets Human Creativity
Custom AI Solutions for Your Business Needs, Wherever You Are on Your AI Journey
Custom AI Solutions for Your Business Needs, Wherever You Are on Your AI Journey
Sponsor a challenge at Pi School of AI
Sponsor a challenge at Pi School of AI
Building Efficient Mathematical Reasoners in the LLM Era
Building Efficient Mathematical Reasoners in the LLM Era
Apply for Session 14 of the School of Artificial Intelligence
Apply for Session 14 of the School of Artificial Intelligence
Sponsor a challenge at Pi School of AI
Sponsor a challenge at Pi School of AI
Unraveling the Immunological Code Classic and Explainable AI Methods in Vaccine Development
Unraveling the Immunological Code Classic and Explainable AI Methods in Vaccine Development
On the geometry of Large Language Models representations - Tech Talk Alberto Cazzaniga.
On the geometry of Large Language Models representations - Tech Talk Alberto Cazzaniga.
Overview - Managing Artificial Intelligence
Overview - Managing Artificial Intelligence
Sponsor a challenge at Pi School of AI
Sponsor a challenge at Pi School of AI
Designing efficient and modular neural networks
Designing efficient and modular neural networks
Pitch Day - Pi School of AI Session 13
Pitch Day - Pi School of AI Session 13
Pitch Day - Pi School of AI Session 13
Pitch Day - Pi School of AI Session 13
Pitch Day - Pi School of AI Session 13
Pitch Day - Pi School of AI Session 13
An IoT Data Infrastructure for Climate Change Monitoring
An IoT Data Infrastructure for Climate Change Monitoring
Partecipa al webinar di presentazione dell'Executive Programme in Managing Artificial Intelligence
Partecipa al webinar di presentazione dell'Executive Programme in Managing Artificial Intelligence
Building Efficient Mathematical Reasoners in the LLM Era
Building Efficient Mathematical Reasoners in the LLM Era
Pitch Day - Pi School of AI Session 13
Pitch Day - Pi School of AI Session 13
Unraveling the Immunological Code: Classic and Explainable AI Methods in Vaccine Development
Unraveling the Immunological Code: Classic and Explainable AI Methods in Vaccine Development
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Bytes Are All You Need: Transformers Operating Directly On File Bytes
Partecipa al webinar di presentazione dell'Executive Programme in Managing Artificial Intelligence
Partecipa al webinar di presentazione dell'Executive Programme in Managing Artificial Intelligence
On the geometry of Large Language Models representations
On the geometry of Large Language Models representations
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
Advancing Wildfire Forecasting using Explainable AI
Advancing Wildfire Forecasting using Explainable AI
Improving Chatbot Effectiveness using Large Language Models
Improving Chatbot Effectiveness using Large Language Models
Designing efficient and modular neural networks - Pi School - Machine Intelligence meets Human Creativity
Designing efficient and modular neural networks - Pi School - Machine Intelligence meets Human Creativity
Executive Programme - Managing Artificial Intelligence
Executive Programme - Managing Artificial Intelligence
𝗔𝘀𝘀𝗶𝘀𝘁𝗚𝗣𝗧 full paper
𝗔𝘀𝘀𝗶𝘀𝘁𝗚𝗣𝗧 full paper
If you're eager to join our Autumn Session, seize the opportunity and submit your application now
If you're eager to join our Autumn Session, seize the opportunity and submit your application now
Codice La vita è digitale 2023 - Translated - 23/06/2023 - Video - RaiPlay
Codice La vita è digitale 2023 - Translated - 23/06/2023 - Video - RaiPlay
Sviluppare progetti di AI come una startup
Sviluppare progetti di AI come una startup
Tech Talk with Eduardo Calò: at the crossroads between Logic Language and Generation
Tech Talk with Eduardo Calò: at the crossroads between Logic Language and Generation
Lukasz Kaiser at Pi School
Lukasz Kaiser at Pi School
Business Applications of Large Language Models
Business Applications of Large Language Models
How to do Research for Fun and Profit
How to do Research for Fun and Profit
Pitch Day - Pi School of AI Session 12
Pitch Day - Pi School of AI Session 12
Improving Translation Consistency with Large Language Models
Improving Translation Consistency with Large Language Models
Re:Humanism Art Prize
Re:Humanism Art Prize
A new efficient Transformer variant by Łukasz Kaiser
A new efficient Transformer variant by Łukasz Kaiser
How to Do Research for Fun and Profit
How to Do Research for Fun and Profit
Workshop on AI for Natural Hazard Management
Workshop on AI for Natural Hazard Management
Develop applications powered by Language Models with LangChain
Develop applications powered by Language Models with LangChain
Register for Pi School newsletter
Register for Pi School newsletter
Digital Innovators No. 201 - Intervista ad Angela Sebastianelli, Maurizio Sanarico & Sébastien Bratières - Innovation Spritz
Digital Innovators No. 201 - Intervista ad Angela Sebastianelli, Maurizio Sanarico & Sébastien Bratières - Innovation Spritz
Pitch Day - Pi School of AI Session 12
Pitch Day - Pi School of AI Session 12
Tech Talk with Alberto Danese and Stefano Gatti
Tech Talk with Alberto Danese and Stefano Gatti
Schedule an appointment with us in Rimini
Schedule an appointment with us in Rimini
At the Crossroads between Logic Language and Generation
At the Crossroads between Logic Language and Generation
The Sustainable Future: How NLP is Driving Change - Pi School - Machine Intelligence meets Human Creativity
The Sustainable Future: How NLP is Driving Change - Pi School - Machine Intelligence meets Human Creativity
Pitch Day - Pi School of AI Session 12
Pitch Day - Pi School of AI Session 12
From Machine Learning generalist to working with Earth Observation
From Machine Learning generalist to working with Earth Observation
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Are you struggling to optimize your supply chain and logistics operations?
Are you struggling to optimize your supply chain and logistics operations?
AI for Marketing and sales - Sponsor a challenge at Pi School of AI
AI for Marketing and sales - Sponsor a challenge at Pi School of AI
AI for Customer Care - get more info
AI for Customer Care - get more info
3 Ways ChatGPT can help your company
3 Ways ChatGPT can help your company
Vuoi scoprire come l'integrazione dell'Intelligenza Artificiale nei processi aiuta le aziende ad essere più efficienti? Non perdere Sébastien Bratières Managing Director di Pi School confrontarsi sul tema
Vuoi scoprire come l'integrazione dell'Intelligenza Artificiale nei processi aiuta le aziende ad essere più efficienti? Non perdere Sébastien Bratières Managing Director di Pi School confrontarsi sul tema
Machine Learning: borse di studio disponibili
Machine Learning: borse di studio disponibili
Intelligenza Artificiale oggi. E domani?
Intelligenza Artificiale oggi. E domani?
4 borse di studio disponibili per computer scientist e ingegneri di lingua italiana
4 borse di studio disponibili per computer scientist e ingegneri di lingua italiana
Ascolta Sébastien Bratières intervistato da Nicolas Capasso nel podcast #AISpiegataSemplice
Ascolta Sébastien Bratières intervistato da Nicolas Capasso nel podcast #AISpiegataSemplice
Machine Learning: A NLP model to automatically classify incoming data
Machine Learning: A NLP model to automatically classify incoming data
Computer Vision: diving into a Hierarchical Vision Transformer
Computer Vision: diving into a Hierarchical Vision Transformer
Apply for our fully-sponsored places and boost your career in AI
Apply for our fully-sponsored places and boost your career in AI
Document digitization: information extraction using AI
Document digitization: information extraction using AI
Sponsor a challenge at Pi School of AI
Sponsor a challenge at Pi School of AI
Become a mentor - Pi School of AI
Become a mentor - Pi School of AI
The Illustrated Stable Diffusion by Jay Alammar
The Illustrated Stable Diffusion by Jay Alammar
Interpreting Neural Language Models with Alessio Miaschi
Interpreting Neural Language Models with Alessio Miaschi
Sponsor a challenge at Pi School of AI
Sponsor a challenge at Pi School of AI
Technical Details of Diffusion-Based Generative Models
Technical Details of Diffusion-Based Generative Models
Become a mentor - Pi School of AI
Become a mentor - Pi School of AI
Augment data analytics with Artificial Intelligence
Augment data analytics with Artificial Intelligence
Sponsor a challenge at Pi School of AI
Sponsor a challenge at Pi School of AI
Tech Talk with Emile Courthoud co-founder at Nebuly
Tech Talk with Emile Courthoud co-founder at Nebuly
Sponsor a Challenge at Pi School
Sponsor a Challenge at Pi School
Pitch Day Session 11
Pitch Day Session 11
Pitch Day - Pi School of AI Session 11 - Register Now!
Pitch Day - Pi School of AI Session 11 - Register Now!
Technical Details of Diffusion-Based Generative Models
Technical Details of Diffusion-Based Generative Models
Earth Observation: full-grant fellowships available
Earth Observation: full-grant fellowships available
Interpreting Neural Language Models with Alessio Miaschi
Interpreting Neural Language Models with Alessio Miaschi
Augment data analytics with Artificial Intelligence - Tech Talk with Simone Di Somma
Augment data analytics with Artificial Intelligence - Tech Talk with Simone Di Somma
Apply for Pi School of AI Session 12
Apply for Pi School of AI Session 12
Generative Models: Tech Talk with Gabriele Lombardi CTO at ARGO Vision
Generative Models: Tech Talk with Gabriele Lombardi CTO at ARGO Vision
Efficient AI with Nebuly: tech talk with Emile Courthoud
Efficient AI with Nebuly: tech talk with Emile Courthoud
How AI can improve society: Tech Talk with AI for People
How AI can improve society: Tech Talk with AI for People
Generative Models: Tech Talk with Gabriele Lombardi CTO at ARGO Vision - Pi School - Machine Intelligence meets Human Creativity
Generative Models: Tech Talk with Gabriele Lombardi CTO at ARGO Vision - Pi School - Machine Intelligence meets Human Creativity
Do you want to be one of the Pi School of AI's mentors? Apply here!
Do you want to be one of the Pi School of AI's mentors? Apply here!
The Northernmost #DeepLearning Lectures from Cristiano De Nobili
The Northernmost #DeepLearning Lectures from Cristiano De Nobili
Job post - Machine Learning Engineer
Job post - Machine Learning Engineer
School of AI - Apply
School of AI - Apply
Two new grants in #NLProc #ComputerVision are available. Apply now!
Two new grants in #NLProc #ComputerVision are available. Apply now!
One month to the beginning of the Pi School of AI Session 11. Apply!
One month to the beginning of the Pi School of AI Session 11. Apply!
Are you a Postdoc in Math, Physics, Engineering or Computer Science?
Are you a Postdoc in Math, Physics, Engineering or Computer Science?
AI for Good: call for challenges
AI for Good: call for challenges
More information about AI4Svalbard School
More information about AI4Svalbard School
Patents4IPPC: new improvements to our tool for achieving zero pollution
Patents4IPPC: new improvements to our tool for achieving zero pollution
JOB OFFER: Pi School of AI Coach
JOB OFFER: Pi School of AI Coach
AI for Good: call for challenges
AI for Good: call for challenges
If you have a challenge that AI can solve, get in touch!
If you have a challenge that AI can solve, get in touch!
Session 11 of Pi School of AI will kick off on September 19, 2022. Apply now!
Session 11 of Pi School of AI will kick off on September 19, 2022. Apply now!
We helped healthcare businesses speed up their research thanks to AI's introduction. Want to know more? Get in touch with one of our AI experts.
We helped healthcare businesses speed up their research thanks to AI's introduction. Want to know more? Get in touch with one of our AI experts.
Have you ever heard of Explainable AI techniques? we leveraged Captum, a PyTorch library for Explainable AI.
Have you ever heard of Explainable AI techniques? we leveraged Captum, a PyTorch library for Explainable AI.
Are you a Postdoc thinking of sailing smoothly into the industry? Check out this call for application.
Are you a Postdoc thinking of sailing smoothly into the industry? Check out this call for application.
Open-source project in collaboration with the JRC of the EU Commission
Open-source project in collaboration with the JRC of the EU Commission
Would you like to participate in the next School of AI session? Submit your application!
Would you like to participate in the next School of AI session? Submit your application!
Tech Talk with Giulia De Rossi and Raffaele Mauro from Primo Ventures about Space Economy
Tech Talk with Giulia De Rossi and Raffaele Mauro from Primo Ventures about Space Economy
Meet Isabelle Andrieu, Pi School CEO, at the B For Good Leaders Summit.
Meet Isabelle Andrieu, Pi School CEO, at the B For Good Leaders Summit.
AI talk with Petar Veličković: Augmenting Human Intuition
AI talk with Petar Veličković: Augmenting Human Intuition
Tech Talk with Aina Turillazzi and Marta Ziosi from AI for People
Tech Talk with Aina Turillazzi and Marta Ziosi from AI for People
Would you like to take part in the new Pi School of AI session? Submit your application now!
Would you like to take part in the new Pi School of AI session? Submit your application now!
Tech Talk with Gabriele Graffieti
Tech Talk with Gabriele Graffieti
Apply for Pi School of AI session 11
Apply for Pi School of AI session 11
Learn more about how you can sponsor a challenge
Learn more about how you can sponsor a challenge
Tech Talk with Piero Paialunga video
Tech Talk with Piero Paialunga video
Submit your application for Pi School of AI Session 11
Submit your application for Pi School of AI Session 11
Pitch Day - reserve your seat
Pitch Day - reserve your seat
Pitch Day Session 10 Pi School of AI
Pitch Day Session 10 Pi School of AI
Tech Talk with Giulia De Rossi and Raffaele Mauro from Primo Ventures
Tech Talk with Giulia De Rossi and Raffaele Mauro from Primo Ventures
Tech talk with Gabriele Graffieti
Tech talk with Gabriele Graffieti
Tech Talk with Aina Turillazzi and Marta Ziosi from AI For People
Tech Talk with Aina Turillazzi and Marta Ziosi from AI For People
Tech Talk with Guido Borghi
Tech Talk with Guido Borghi
Translated Revives Einstein’s Father’s Power Plant
Translated Revives Einstein’s Father’s Power Plant
AI makes Smart Buildings Greener, More Sustainable.
AI makes Smart Buildings Greener, More Sustainable.
Tech Talk with Piero Paialunga
Tech Talk with Piero Paialunga
Have a look at how the Greyparrot AI system works
Have a look at how the Greyparrot AI system works
Join us at the Imminent Research Grants Ceremony
Join us at the Imminent Research Grants Ceremony
Researchers from Rutgers University harness AI and robotics to treat spinal cord injuries
Researchers from Rutgers University harness AI and robotics to treat spinal cord injuries
Tech Talk with Andrea Santilli
Tech Talk with Andrea Santilli
Apply to become a School of AI mentor,
Apply to become a School of AI mentor,
Tech Talk with Enrico Bertino
Tech Talk with Enrico Bertino
Pi School of AI session 9 challenge Virtual Characters
Pi School of AI session 9 challenge Virtual Characters
Semantic taxonomy builder for Enhancing Innovation Processes
Semantic taxonomy builder for Enhancing Innovation Processes
Pi School of AI Session 10 application link
Pi School of AI Session 10 application link
Pitch Day - the full video
Pitch Day - the full video
Apply to the Pi School of AI Session 10
Apply to the Pi School of AI Session 10
Join us for the Pitch Day – Pi School of AI Session nine
Join us for the Pitch Day – Pi School of AI Session nine
Transformers in #NLP: does size matter? AI talk with Enrico Bertino.
Transformers in #NLP: does size matter? AI talk with Enrico Bertino.
AI policy, the European approach to AI. Talk with Emanuela Girardi.
AI policy, the European approach to AI. Talk with Emanuela Girardi.
AI for Autism Diagnostics (AIAD)
AI for Autism Diagnostics (AIAD)
Tech talk with Andrea Santilli: Hugginface’s BigScience initiative
Tech talk with Andrea Santilli: Hugginface’s BigScience initiative
Are We on the Verge of Chatting with Whales?
Are We on the Verge of Chatting with Whales?
Forest Monitoring Designed for Action
Forest Monitoring Designed for Action
Save money introducing AI into your business
Save money introducing AI into your business
Circular economy: Patents4IPPC the tool for zero pollution
Circular economy: Patents4IPPC the tool for zero pollution
Apply to Pi School of AI Q1 2022
Apply to Pi School of AI Q1 2022
HackParty W21 AI Challenge
HackParty W21 AI Challenge
There's an Earth Digital Twin that simulates the atmosphere, ocean, ice and land with unrivalled precision.
There's an Earth Digital Twin that simulates the atmosphere, ocean, ice and land with unrivalled precision.
AIforPeople: presentation and video
AIforPeople: presentation and video
Does your company need to implement a chatbot? Let's do it!
Does your company need to implement a chatbot? Let's do it!
AI for People: Towards Sustainable AI conference
AI for People: Towards Sustainable AI conference
Open-source project Pi School and the JRC EU_Commission repository link
Open-source project Pi School and the JRC EU_Commission repository link
New Artificial Intelligence Tool PrevisIA Helps Predict Amazon Deforestation and Fires
New Artificial Intelligence Tool PrevisIA Helps Predict Amazon Deforestation and Fires
Call for mentors!
Call for mentors!
Can you imagine the impact of #climatechange on your home?
Can you imagine the impact of #climatechange on your home?
Develop your products from idea to market. Buy our online self-paced course.
Develop your products from idea to market. Buy our online self-paced course.
Boost your business by introducing AI! We can help you!
Boost your business by introducing AI! We can help you!
Apply to Pi School of AI Q4 2021 - 20 full scholarships available!
Apply to Pi School of AI Q4 2021 - 20 full scholarships available!
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