How to train LLMs with long context?

Deep Learning with Yacine · Intermediate ·🧠 Large Language Models ·27:03 ·1y ago

Key Takeaways

Training LLMs with long context using transformer architecture and context windows

Original Description

In today's video, I wanted to cover context windows in the transformer's architecture and how to make them BIG. # Table of Content ...
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This video teaches how to train LLMs with long context using transformer architecture and context windows, which is essential for improving model performance and handling long-range dependencies. By the end of this video, viewers will be able to implement transformer architecture and increase context length. The video is designed for intermediate learners who want to take their LLM training to the next level.

Key Takeaways
  1. Understand transformer architecture
  2. Learn about context windows
  3. Implement context windows in LLMs
  4. Train LLMs with long context
  5. Optimize LLM training
  6. Evaluate model performance
💡 Increasing context length is crucial for improving LLM performance, and transformer architecture provides a powerful tool for achieving this

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