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

AI Stories

CHAPTER

Navigating the Open Source Landscape in Machine Learning

This chapter explores the impact of open source contributions in the realm of topological machine learning and medical image segmentation, highlighting its vibrant community and educational benefits. It contrasts the growing tension between open source and closed source large language models, with an emphasis on major players like OpenAI and Google while advocating for open source advancements. Ultimately, the discussion focuses on the importance of on-premises solutions for data security and control, as well as the potential for collaboration between proprietary and open source innovations.

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