Extending Context Window of Large Language Models via Positional Interpolation Explained

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  1. Gabriel Mongaras
  2. Machine Learning
  3. Artificial Intelligence
  4. Deep Learning
  5. Paper Reviews
  6. Rotary Position Embedding
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Комментарии
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man I just love you for sharing and such easy to understand explanation

pengbo
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Interesting paper, I am having similar problem while training on 300 long sequences I need to extend to 1000 and I am using RoPE. Do you know if this interpolation can be used with RoPE, or should I look into something like ALiBI ? I recall I was reading ALiBi also has some issues and accuracy is worse. There is also LongRoPE.

mateuszk
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Thank you for another great video! 🙏
Does this also work for ALiBi?

Skinishh
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Amazing explanation, I am thinking u r doing a PhD. do u have any idea how we can implement this method in code to finetune llama2? any resource is appreciated.

kibrutemesgen
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Question : The model can still take only 2048 tokens, so we still have to chunk a 4096 tokens in two blocks, right? PI only deals with modifying the positional embedding. It cannot help with the fact that the attention is still on a window of 2048 tokens.

HarisJabbar