[Adapt] [Seminar] Vision Language Models

[陈浩平]

Hi  Adapters,

      Recent years have seen the remarkable progress of large language models by scaling up data size and model size, these LLMs raise amazing emergent abilities, typically including In-Context Learning (ICL), instruction following, and Chain of Thought (CoT). Although LLMs have demonstrated surprising zero/few-shot reasoning performance on most Natural Language Processing (NLP) tasks, they are inherently "blind" to vision since they can only understand discrete text.

      Today, i'll follow last week xukai's seminar, i'll give a brief introduction on vision-language tasks and datasets, as well as the structure of the mainstream vision large language models.

      Hope you find this talk interesting!

Time: Wed 10 am. - 11:30 am.

Meeting link: 
https://teams.microsoft.com/l/meetup-join/19%3ameeting_M2VmMTU5MzgtODUzOC00NmU4LTg0MzktNGFjNDdiMmIwYTI1%40thread.v2/0?context=%7b%22Tid%22%3a%225cdc5b43-d7be-4caa-8173-729e3b0a62d9%22%2c%22Oid%22%3a%221a8b9fa0-af57-4a1c-9390-22d1c201d622%22%7d


Best wishes,
Apple
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