No Backpropagation: Transformers Demystified in 60 Seconds!

Data Science Dojo · Beginner ·🧠 Large Language Models ·2y ago

Key Takeaways

The video explains how Transformers learn without backpropagation, using reinforcement learning with human feedback for fine-tuning, and discusses the role of backpropagation in training Transformers.

Full Transcript

white Transformers don't use back propagation to adjust its eror they do they do they do you train use train Transformers using a huge back propagation and the attention Ms get the matrices the keep bra M valy matrices get trained uh there however when you want to fine tune them right like this this Ms come out and then you have human human way to to train them more right so like you you put in front of a lot of humans several respon and that humans select response one response two Etc and for that you can use reinforcement learning so it's called reinforcement learning with human feedback because basically a transform is trying to play a game and the game is what score the human gives it right uh so you can use you can use RL uh or you can use other more direct methods for back propagation but the idea is that is that you do use back propagation

Original Description

Ever wonder how Transformers learn without backpropagation? This isn't a trick question, it's a whole new approach! This short dives into how Transformers become super language masters. Want to dig deeper into the fascinating world of Transformers? Join our Discord community for exclusive content, discussions, and all things data and AI! ▶️https://hubs.la/Q02z5cCs0 #Transformer #AI #error
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This video explains how Transformers learn without backpropagation, using reinforcement learning with human feedback for fine-tuning, and discusses the role of backpropagation in training Transformers. It's a beginner-friendly introduction to the fascinating world of Transformers. By watching this video, you'll gain a deeper understanding of how Transformers become super language masters.

Key Takeaways
  1. Understand the basics of Transformer architecture
  2. Learn how backpropagation is used in training Transformers
  3. Discover how reinforcement learning with human feedback is used for fine-tuning Transformers
  4. Explore the role of attention mechanisms in Transformers
  5. Fine-tune a Transformer model using reinforcement learning with human feedback
💡 Transformers can be fine-tuned using reinforcement learning with human feedback, which allows them to learn from human preferences and improve their performance.

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