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Eye On A.I.

Eye on A.I. tracks new developments in artificial intelligence research, hosted by longtime New York Times journalist Craig S. Smith. In each episode, Craig will discuss aspects of AI with some of the people making a difference in the space, putting incremental advances into a broader context. AI is about to change your world, so pay attention.

Feb 16, 2023

In this episode, Yann LeCun, a renowned computer scientist and AI researcher, shares his insights on the limitations of large language models and how his new joint embedding predictive architecture could help bridge the gap.

While large language models have made remarkable strides in natural language processing and understanding, they are still far from perfect. Yann LeCun points out that these models often cannot capture the nuances and complexities of language, leading to inaccuracies and errors.

To address this gap, Yann LeCun introduces his new joint embedding predictive architecture - a novel approach to language modelling that combines techniques from computer vision and natural language processing. This approach involves jointly embedding text and images, allowing for more accurate predictions and a better understanding of the relationships between original concepts and objects.

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