technifyed

Overview

Dive into the intriguing world of AI Transformers with this curated YouTube playlist. Featuring expert insights, educational content from leading organizations, and engaging discussions, this playlist keeps you informed about the latest breakthroughs in Transformer technology.

Videos in this playlist 16

  1. Stanford CS25: Transformers United V6 I From Language Models to Native Multimodal Intelligence
  2. Stanford CS25: Transformers United V6 I Serving Transformers: Lessons from the Trenches
  3. Stanford CS25: Transformers United V6 I Advancing Science and Medicine with Collaborative AI Agents
  4. Stanford CS25: Transformers United V6 I Distinct Modes of Generalization from Parameters and Context
  5. Stanford CS25: Transformers United V6 I From Next-Token Prediction to Next-Generation Intelligence
  6. Stanford CS25: Transformers United V6 I The Ultra-Scale Talk: Scaling Training to Thousands of GPUs
  7. Stanford CS25: Transformers United V6 I On the Tradeoffs of State Space Models and Transformers
  8. Stanford CS25: Transformers United V6 I From Representation Learning to World Modeling
  9. Stanford CS25: Transformers United V6 I Overview of Transformers
  10. Stanford CS25: V5 I Transformers for Video Generation, Andrew Brown of Meta
  11. Stanford CS25: V5 I Transformers in Diffusion Models for Image Generation and Beyond
  12. Stanford CS25: V5 I Overview of Transformers
  13. Stanford CS25: V4 I Hyung Won Chung of OpenAI
  14. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and Transformers
  15. Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy
  16. Stanford CS25: V1 I Transformers United: DL Models that have revolutionized NLP, CV, RL

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • The actual Stanford lectures (CS229, CS224N, CS231N…): the deepest free material on AI anywhere.
  • Taught by Stanford University, one of the strongest names in its field.
  • 1,041,874 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (16 videos) you can see before you start.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • Graduate level: needs linear algebra, probability and programming first.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Stanford University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (97/100).

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