How AI Vision Evolved | Merve Noyan

In this clip, Merve breaks down how AI vision evolved and explains why it matters in practice. Dense explanation of how vision evolved and why progress feels incremental now. 🤗 Listen to the full podcast episode 👉 Here: https://youtu.be/SjjCpeTjXIY Connect with Merve: - Merve on X — https://x.com/mervenoyann - Vision Language Models (O'Reilly) — https://www.oreilly.com/library/view/vision-language-models/9798341624030/ Chapters: - 00:00 How AI Vision Evolved - 00:12 Vision Transformers - 01:06 LLaVA - 01:38 IDEFICS - 02:06 CLIP + Projection Layer - 02:54 Interleaving - 05:42 Segment Anything Topics covered: - Vision Transformers - LLaVA - IDEFICS - CLIP + Projection Layer - Interleaving Sources mentioned: - An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale — https://arxiv.org/abs/2010.11929 - Visual Instruction Tuning project page — https://llava-vl.github.io/ - IDEFICS: an open reproduction of Flamingo — https://huggingface.co/blog/idefics - CLIP: Connecting text and images — https://arxiv.org/abs/2103.00020 - IDEFICS2 model documentation — https://huggingface.co/docs/transformers/model_doc/idefics2 - Segment Anything — https://arxiv.org/abs/2304.02643