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Best Practices for Developing an LLM Evaluation Framework

• DISearch AI

  

  Leader
   

  August 26, 2024

  Developing an LLM evaluation framework involves defining clear objectives, selecting relevant metrics (like accuracy, coherence, and bias), and incorporating both quantitative and qualitative assessments. Regularly benchmark against diverse datasets, ensure transparency in evaluation criteria, and update the framework as models evolve to maintain accuracy and relevance in real-world applications.

  Developing an [url=https://disearch.ai/blog/llm-evaluation/]LLM evaluation framework[/url] involves defining clear objectives, selecting relevant metrics (like accuracy, coherence, and bias), and incorporating both quantitative and qualitative assessments. Regularly benchmark against diverse datasets, ensure transparency in evaluation criteria, and update the framework as models evolve to maintain accuracy and relevance in real-world applications.

• john albart

  
   

  August 31, 2024

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