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.
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I.
Twitter: https://twitter.com/EyeOn_AI