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8min chapter
#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI
DataFramed
Advancements and Challenges in Generative AI
The chapter explores the evolution of generative AI models, from large language models to multimodal versions, and discusses the potential for a significant intelligence leap in future models. It also touches on the challenges posed by increasing complexity and costs in training models, emphasizing the need for a qualitative shift in model development approaches. The conversation delves into trends such as multimodal technologies and agentic systems, as well as the advancements and challenges in training large language models with massive datasets.
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