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Fine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49

AI Stories

CHAPTER

Innovations in Fine-Tuning Language Models

This chapter explores advancements in fine-tuning large language models, focusing on innovative approaches like direct preference optimization. The speaker shares insights into collaboration within the community through the Alignment Handbook and discusses future directions for model training, emphasizing the importance of domain-specific datasets. It also highlights challenges faced in fine-tuning, the introduction of new techniques, and the necessity of sharing strategies for broader accessibility.

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