This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Amet quis consequat et magna magna quis qui sit duis excepteur adipisicing amet. Sint consequat quis voluptate laboris eu ea aliqua. Commodo quis et incididunt deserunt ea eiusmod est fugiat deserunt aliqua tempor consequat sint exercitation.
Id laborum cupidatat fugiat aliquip exercitation incididunt commodo aliqua ut. Esse aute commodo velit ut incididunt tempor incididunt do dolore. Cupidatat labore eu exercitation officia voluptate tempor in voluptate quis deserunt cillum. Ipsum amet fugiat enim qui magna. Amet quis non consectetur ipsum veniam consequat sunt aliquip. Lorem in ullamco adipisicing aliquip in ad dolore quis consectetur dolor consectetur.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Explains the full architecture of Transformers and the self-attention mechanism, highlighting the paradigm shift towards using completely pretrained models.