Super Data Science: ML & AI Podcast with Jon Krohn cover image

917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko

Super Data Science: ML & AI Podcast with Jon Krohn

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The Evolution of AI Context and Memory

This chapter examines the significant advancements in AI context windows, transitioning from limited token capacities to millions. The discussion highlights the implications for Retrieval-Augmented Generation systems and the balance between comprehensive data inclusion and relevance in information retrieval. Additionally, the speakers explore the distinctions between traditional large language models and agentic AI, emphasizing operational efficiency and the potential of AI agents in personal and professional applications.

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