Yann LeCun: Filling the Gap in Large Language Models

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 …

artificial intelligence chatbots computer vision image-captioning joint embedding predictive architecture language understanding large language models machine learning natural language processing yann lecun