Evaluation Frameworks Explained
Shreya discusses the importance of validation prompts in evaluating machine learning outputs, particularly in complex tasks like processing legal documents. She highlights how flexible chunk sizes and task decompositions can influence results, emphasizing the need for a robust evaluation framework that balances precision and recall. The conversation also touches on the challenges of subjective interpretation in data extraction and the role of user input in refining validation criteria.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI Agents for Data Analysis with Shreya Shankar - 703
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