6.S087: Foundation Models & Generative AI

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Self-driving cars
DNA to proteins

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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.


DNA to proteins
DNA to proteins

2024 Version

Lecture 1: Introduction

Lecture 2: How it works

Lecture 3: ChatGPT & LLMs

Lecture 4: Image Generation

Lecture 5: Ecosystems

Lecture 6: Biology

Lecture 7: Autonomy

Lecture 8: Ethics

Lecture 9: Panel

New lectures released every week...

2023 Version

Lecture 1: Introduction

Lecture 2: Algorithms

Lecture 3: ChatGPT

Lecture 4: Data & Stable-Diffusion

MIT Introductory Course on Foundation Models & Generative AI Covering: