205: How to make LLMs Boring (Predictable, Reliable, and Safe), Featuring Nicolay Gerold
The Data Stack Show
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Navigating the Evolution of AI and LLMs
This chapter explores personal experiences and key milestones in the development of large language models (LLMs) and artificial intelligence (AI). It discusses the challenges of generating reliable outputs, the importance of data quality over model adjustments, and highlights significant innovations like attention mechanisms and reinforcement learning. The narrative underscores the transformative potential of LLMs while addressing ongoing challenges such as compute costs and data shifts.
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