MIT’s Future of AI course is one of the best free, non-technical introductions to modern AI, covering the evolution from classical machine learning to foundation models and self-supervised learning.

Course https://futureofai.mit.edu

What you will learn: History of AI Supervised Learning Reinforcement Learning Self-Supervised Learning Foundation Models Generative AI Large Language Models (LLMs) Diffusion Models Image Generation AI in Science & Business Future Directions of AI

Lecture Videos Foundation Models & Generative AI — https://youtube.com/watch?v=y1fGlAECNFM…

Self-Supervised Learning & Foundation Models — https://youtube.com/watch?v=R6ITDsKX2c0…

MIT FUTURE OF AI

Source: https://www.futureofai.mit.edu/

MIT FUTURE OF AI 6.S087: Foundation Models & Generative AI

https://docs.google.com/forms/d/e/1FAIpQLScGQiqSWM-2LuV2YFmqmSdBLgw8qiqspGyLEgCgJtv61ncqcw/viewformto sign up for more lecture material and updates.

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 byRickard 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 ofUnbox AI, a leading company innovating in behavior-to-behavior foundation models.

Reviews

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:

• ChatGPT
• Stable-Diffusion & Dall-E
• Neural Networks
• Supervised Learning
• Representation & Unsupervised Learning
• Reinforcement Learning
• Generative AI
• Self-Supervised Learning
• Foundation Models
• GANs (adversarial)
• Contrastive Learning
• Auto-encoders
• Denoising & Diffusion