The Future of Vision in ML | Merve Noyan | HF Podcast #1
Episode details
Episode description
In this episode, we sit down with Merve to talk about where vision AI is heading: from early computer vision systems to modern multimodal models, world models, robotics, and open source AI. We discuss LLaVA, IDEFICS, Vision Transformers, CNNs, JEPA, V-JEPA, Genie 3, OpenClaw, IMCP, PaliGemma, ColPali, ColQwen, and why Hugging Face has become such a central part of the open ecosystem. ## Connect with Merve Noyan, the open-sourceress 👇 - X (twitter): https://x.com/mervenoyann - LinkedIn: https://www.linkedin.com/in/merve-noyan-28b1a113a/ - Personal Site: https://merveenoyan.github.io/me/ - GitHub: https://github.com/merveenoyan ## Chapters 00:00 Intro: vision, Hugging Face, and the future of AI 00:31 Why vision feels different now 03:58 LLaVA, IDEFICS, and multimodal training 08:56 CNNs, ViTs, and older vision architectures 15:46 How vision models could reach everyday users 16:50 World models, JEPA, V-JEPA, Genie 3, and robotics 25:44 OpenClaw, IMCP, and agent safety 28:01 Small vision models, fine-tuning, and getting started 34:39 Why Hugging Face matters in open source AI 42:49 PaliGemma, ColPali, ColQwen, and vision retrieval 47:26 Before Hugging Face: how models were shared 49:48 Mentors, culture, and closing thoughts If you enjoyed the episode, subscribe for more conversations about open models, multimodal systems, and the future of AI.
Watch also from the same channel
More episodes from this channel
You might be interested in
