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5min chapter
REPLAY: Scoping the Enterprise LLM Market
AI + a16z
From Supervised to Self-Supervised Learning
This chapter explores the shift in artificial intelligence from traditional supervised learning to self-supervised methods, highlighting the challenges and changes in industry practices. It covers the significance of large pre-trained models, the role of fine-tuning, and the evolution of training large language models for improved results with limited data.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode