ChatGPT, Copilot, CLIP, Dall-E, Stable-Diffusion, AlphaFold, Self-driving cars – is now the time that AI lives up to all its hype? What's the secret sauce behind these recent breakthroughs within AI? It’s called foundation models and generative AI, and it is changing everything. With the help of it, some believe that Artificial General Intelligence (AGI) has already been achieved. In this non-technical series of lectures, we will start a short history of AI, then with what supervised learning and reinforcement learning is missing, and conclude with the deep practical and foundational implications foundation models and how we arrive at them via self-supervised learning. We cover applications in both science and business. All backgrounds are welcome.
Lectures are Tuesdays and Thursdays 2:00-2:50pm (first week) and 2:00-3:15pm (subsequent weeks) in E25-111. Lectures are scheduled to start on Tuesday, January 9. Secure your spot at: Course Registry (Course Number: 6.S087).
Lectures are created by Rickard Brüel Gabrielsson — a MIT researcher specializing in foundation models and generative AI, previously at Stanford. Entrepreneur with 10 years of experience in the AI space, TEDx speaker, and co-founder of Unbox AI, a leading company innovating in behavior-to-behavior foundation models.
MIT Introductory Course on Foundation Models & Generative AI Covering: