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Generative Benchmarking with Kelly Hong - #728

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Real-World Queries vs. Benchmarks

This chapter explores the differences between user-generated queries and public benchmark queries for Large Language Models (LLMs). It emphasizes the need for using real-world data to assess model performance and improve query relevance. The discussion also covers the evaluation processes and alignment strategies essential for enhancing LLM effectiveness.

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