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14min chapter
853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves
Super Data Science: ML & AI Podcast with Jon Krohn
Fine-Tuning Machine Learning Models
This chapter explores various fine-tuning methods for machine learning models, focusing on their application in business contexts. It covers techniques such as domain-specific fine-tuning and instruction-based fine-tuning, illustrating how different approaches impact model responses. Additionally, it discusses the importance of inference parameters and introduces Retrieval Augmented Generation (RAG) as a strategy for enhancing AI output.
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