10 Best AI Evaluation Tools for Testing LLMs and AI Applications

Category 108: AI Evaluation Tools

1. LangSmith — https://www.langchain.com/langsmith

LangSmith provides evaluation, tracing, monitoring, and testing for LLM applications and agents.

2. Braintrust — https://www.braintrust.dev/

Braintrust provides evaluation infrastructure for testing prompts, models, datasets, and AI application outputs.

3. Arize AI — https://arize.com/

Arize provides AI observability and evaluation for machine-learning and generative AI systems.

4. Weights & Biases — https://wandb.ai/

Weights & Biases provides experiment tracking and evaluation tools for machine-learning and generative AI development.

5. Humanloop — https://humanloop.com/

Humanloop provides evaluation and prompt-management workflows for improving AI application quality.

6. Galileo — https://galileo.ai/

Galileo provides evaluation and observability tools for generative AI and machine-learning applications.

7. Deepchecks — https://www.deepchecks.com/

Deepchecks provides testing, evaluation, and monitoring for machine-learning and LLM systems.

8. Patronus AI — https://www.patronus.ai/

Patronus AI provides automated evaluation and testing for enterprise generative AI applications.

9. Confident AI — https://www.confident-ai.com/

Confident AI provides evaluation infrastructure built around testing and improving LLM applications.

10. TruLens — https://www.trulens.org/

TruLens provides open-source evaluation and tracking tools for LLM-based applications.

Conclusion: AI evaluation should use task-relevant datasets and multiple metrics rather than relying on a few manually selected examples.

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