CALM GPT

• 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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