Eval sets.
Your prompts. Your rules.
Use Arato's out-of-the-box evals or build your custom evals set quickly.
Get complete protection for everything you and your team create.
Get complete protection for everything you and your team create.
Customize your evals from
endless possibilities.
Arato’s eval sets are built from prompt, dataset, and evaluation criteria using both
LLM and deterministic code validators.
LLM and deterministic code validators.
Conciseness Eval
Description
Ensures the response is brief and avoids unnecessary details.
Relevance Eval
Description
Checks if the response directly pertains to the given context or question.
Accuracy Eval
Description
Ensures the response is factually accurate and reliable.
Prompt Logic Eval
Description
Evaluates whether the prompt is logically structured and easy to follow.
Racism Prevention
Description
Ensures the prompt does not include racist content.
Controversy Check
Description
Ensures the response avoids unnecessary controversy.
Response Bias Eval
Description
Evaluates whether the response is impartial and free from bias.
Response Coherence
Description
Checks if the response is logically consistent and well-structured.
Conciseness Eval
Description
Ensures the response is brief and avoids unnecessary details.
Relevance Eval
Description
Checks if the response directly pertains to the given context or question.
Accuracy Eval
Description
Ensures the response is factually accurate and reliable.
Prompt Logic Eval
Description
Evaluates whether the prompt is logically structured and easy to follow.
Racism Prevention
Description
Ensures the prompt does not include racist content.
Controversy Check
Description
Ensures the response avoids unnecessary controversy.
Response Bias Eval
Description
Evaluates whether the response is impartial and free from bias.
Response Coherence
Description
Checks if the response is logically consistent and well-structured.
Conciseness Eval
Description
Ensures the response is brief and avoids unnecessary details.
Relevance Eval
Description
Checks if the response directly pertains to the given context or question.
Accuracy Eval
Description
Ensures the response is factually accurate and reliable.
Prompt Logic Eval
Description
Evaluates whether the prompt is logically structured and easy to follow.
Racism Prevention
Description
Ensures the prompt does not include racist content.
Controversy Check
Description
Ensures the response avoids unnecessary controversy.
Response Bias Eval
Description
Evaluates whether the response is impartial and free from bias.
Response Coherence
Description
Checks if the response is logically consistent and well-structured.
Conciseness Eval
Description
Ensures the response is brief and avoids unnecessary details.
Relevance Eval
Description
Checks if the response directly pertains to the given context or question.
Accuracy Eval
Description
Ensures the response is factually accurate and reliable.
Prompt Logic Eval
Description
Evaluates whether the prompt is logically structured and easy to follow.
Racism Prevention
Description
Ensures the prompt does not include racist content.
Controversy Check
Description
Ensures the response avoids unnecessary controversy.
Response Bias Eval
Description
Evaluates whether the response is impartial and free from bias.
Response Coherence
Description
Checks if the response is logically consistent and well-structured.
Custom Eval
Description
Build your own custom evaluation for LLM outputs, tailored to specific criteria.
Custom Content Eval
Description
Validates whether specific content exists using regular expressions.
Helpfulness Eval
Description
Verifies that the response is useful.
Prompt Harm Prevention
Description
Ensures the prompt does not contain or encourage harm.
Prompt Maliciousness
Description
Ensures the prompt is free from malicious content or intent.
Custom Eval
Description
Build your own custom evaluation for LLM outputs, tailored to specific criteria.
Custom Content Eval
Description
Validates whether specific content exists using regular expressions.
Helpfulness Eval
Description
Verifies that the response is useful.
Prompt Harm Prevention
Description
Ensures the prompt does not contain or encourage harm.
Prompt Maliciousness
Description
Ensures the prompt is free from malicious content or intent.
Custom Eval
Description
Build your own custom evaluation for LLM outputs, tailored to specific criteria.
Custom Content Eval
Description
Validates whether specific content exists using regular expressions.
Helpfulness Eval
Description
Verifies that the response is useful.
Prompt Harm Prevention
Description
Ensures the prompt does not contain or encourage harm.
Prompt Maliciousness
Description
Ensures the prompt is free from malicious content or intent.
Custom Eval
Description
Build your own custom evaluation for LLM outputs, tailored to specific criteria.
Custom Content Eval
Description
Validates whether specific content exists using regular expressions.
Helpfulness Eval
Description
Verifies that the response is useful.
Prompt Harm Prevention
Description
Ensures the prompt does not contain or encourage harm.
Prompt Maliciousness
Description
Ensures the prompt is free from malicious content or intent.
Build your own
eval sets.
Create tailored evals for your prompts and projects. Save it as a ‘Company Eval’ set bundle
tailored to your company.
tailored to your company.
-
Evals from build to prod.
Reuse and run your experimentation evals in production to ensure the application's performance level. With Arato, you can monitor them in production and adjust your evaluation sets accordingly to continue your optimization. -
Industry guardrails.
Adjust your evals according to your industry and competitors. Add more evals quickly as your industry evals them, and save them for your team’s use.
Evaluate smarter.
Start for free — validate quality where it matters most.