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CALM GPT

Explanation about CALM: Composition to Augment Language Models

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Conversions
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Features and Functions

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Conversion Starters

  • What is all about ?
  • How does CALM differ from other efficient parameter fine-tuning methods, such as LoRA ?
  • How is CALM capable of compositing more than one augmenting model, for example knowledge of code and knowledge of low-resource languages simultaneously for the same anchor model? Are there synergies or interactions between augmenting models that can be explored?
  • How much computational overhead and inference speed does CALM have compared to individual models when used on production or real-time systems? Is there a way to optimize its performance in this case?

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