LLM Evaluation: Challenges and Best Practices - MLOps Podcast #210

LLM Evaluation: Challenges and Best Practices - MLOps Podcast #210

MLOps.community via YouTube Direct link

[] Context length, placement, and information recall study

10 of 19

10 of 19

[] Context length, placement, and information recall study

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LLM Evaluation: Challenges and Best Practices - MLOps Podcast #210

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  1. 1 [] AI in Production Conference
  2. 2 [] Aparna preferred coffee
  3. 3 [] Takeaways
  4. 4 [] Shout out to Arize team for being a sponsor of the MLOps Community since 2020!
  5. 5 [] Please like, share, and subscribe to our MLOps channels!
  6. 6 [] Evaluation space
  7. 7 [] Chatbots Prevent Misinformation
  8. 8 [] Evaluating AI response based on factual retrieval
  9. 9 [] Balancing eval response and impact on speed
  10. 10 [] Context length, placement, and information recall study
  11. 11 [] GPT-4 excels, prompt iterations affect outcomes
  12. 12 [] Multiple sub-steps and requiring visibility on Application calls
  13. 13 [] Evaluate calls, breakdown, score, and application evaluation
  14. 14 [] Rata classification for effective evaluation Research
  15. 15 [] Benchmarks on Huggingface and Twitter reliability
  16. 16 [] Power of observability and retrieval embeddings
  17. 17 [] Tweaking data points
  18. 18 [] Hot take
  19. 19 [] Bottlenecks and errors from rapid production

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