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Do we need a "LexLeCun" or how to deal with US talents?

Industrial AI Podcast

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Navigating LLMs and Data Contextualization

This chapter explores the capabilities and limitations of Large Language Models, particularly in time series analysis, while emphasizing the crucial role of contextualized datasets in industrial applications. It also highlights the importance of smaller companies in data sharing initiatives and presents a balanced view on the advancements in AI, calling for a practical approach amidst the industry's hype.

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