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Deep Papers
Breaking Down EvalGen: Who Validates the Validators?
May 13, 2024
This podcast delves into the complexities of using Large Language Models for evaluation, highlighting the need for human validation in aligning LLM-generated evaluators with user preferences. Topics include developing criteria for acceptable LLM outputs, evaluating email responses, evolving evaluation criteria, template management, LLM validation, and the iterative process of building effective evaluation criteria.
44:47
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Quick takeaways
- EvalGen aligns LLM outputs with user preferences for efficient evaluation process.
- Regular refinement of evaluation criteria based on observations ensures accurate outcomes and user alignment.
Deep dives
Overview of Eval Gen Framework
The podcast episode discusses a paper called Cunvality Sivalities which introduces the Eval Gen framework aimed at aligning the evaluation criteria of assisted emails with user preferences. The framework introduces an open source tool called Eval Gen to address challenges related to evaluating LM outputs efficiently due to the high volume of queries and manual efforts involved. The framework focuses on transparency and alignment with user goals to enhance the evaluation process.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode