

Fine-Tuning LLMs, Hugging Face & Open Source with Lewis Tunstall #49
5 snips Jun 20, 2024
Lewis Tunstall, an LLM Engineer at Hugging Face and co-author of "Natural Language Processing with Transformers," dives into captivating discussions on topological machine learning and its applications. He contrasts open source and closed source LLMs, shedding light on their implications for security and collaboration. Tunstall shares insights on fine-tuning language models, innovative training techniques, and the importance of community-driven advancements in AI. His journey from Kaggle competitions to real-world applications offers valuable lessons for aspiring data scientists.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 6min
From Kaggle to Real-Time Data Science
05:31 • 14min
Exploring Topological Machine Learning
19:10 • 6min
Analyzing U.S. Election Dynamics Through Clustering Algorithms
25:29 • 2min
Navigating the Open Source Landscape in Machine Learning
27:21 • 14min
Navigating Open Source NLP Models
41:39 • 18min
Innovations in Fine-Tuning Language Models
59:52 • 13min
Learning Through Mistakes and Open Source
01:12:52 • 8min