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15min chapter
Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez
Gradient Dissent: Conversations on AI
Evaluating Language Models: Challenges and Innovations
This chapter explores the use of large language models (LLMs) as evaluators for other models, detailing their methodology and addressing biases in LLM outputs. It also discusses innovative approaches like table augmented generation to improve LLM capabilities in processing structured and unstructured data. Additionally, the chapter emphasizes the significance of clear tool specifications in enhancing model effectiveness while highlighting the evolution of tool use in language processing.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode