Best LLM Evaluation Tools

Here is a summary of Reddit comments related to LLM evaluation tools:

TLM (Trustworthy Language Model)

• A tool that estimates model uncertainty and reports uncertainty in answers from any LLM API.
• The tool is useful for real-time hallucination detection.
• Users can sample multiple answers from any LLM, rate their trustworthiness, and return the most trustworthy answer.
• Reduces incorrect answers/hallucinations from various LLMs.
• Benchmark blogpost: here
• Interactive playground: here
• API quickstart tutorial: here
• "I built a useful tool called the Trustworthy Language Model, which is based on state-of-the-art ML techniques for estimating model uncertainty."

ChatGPT

• Used for Factual Inconsistency Evaluation for Abstractive Text Summarization.
• Human-like Summarization Evaluation with ChatGPT.
• "*Found 3 relevant code implementations for Human-like Summarization Evaluation with ChatGPT.*"

RAGAS (Retrieval Augmented Generation Evaluation)

• Used for Automated Evaluation of Retrieval Augmented Generation.
• "Found 3 relevant code implementations for RAGAS: Automated Evaluation of Retrieval Augmented Generation."

SelfCheckGPT

• Used for Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.
• "Found 1 relevant code implementation for SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models."

BARTScore

• Used for Evaluating Generated Text as Text Generation.
• "Found 1 relevant code implementation for BARTScore: Evaluating Generated Text as Text Generation."

Completeness and Relevance Metrics

• Discussion on the importance of having separate metrics for completeness and relevance in evaluation.
• The relationship between relevance and conciseness in Evaluation Metrics.
• Flexibility of custom evaluations for adapting to unique project requirements.
• "Great resource on LLM Evaluation Metrics. I'm curious about the custom evaluations—how flexible are they for adapting to unique project requirements?"

Evaluation Metrics

• Mention of metrics such as Bluert, Rouge, etc.
• Suggestion to assign scores for Evaluation Metrics during pre-training or fine-tuning.
• "what about metrics such as Bluert, Rouge, etc."

Pros and Cons

• Pros
  • Diverse range of evaluation tools available.
  • Tools for uncertainty estimation and real-time hallucination detection.
  • Automated evaluation of retrieval augmented generation.
• Cons
  • Challenges in implementing complex Evaluation Metrics during the training loop.
  • Limited discussion on practical application and implementation of evaluation tools.

This summary provides insights into various LLM evaluation tools and metrics discussed in the Reddit comments.