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CALM GPT
Kukuh Tripamungkas W
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Explanation about CALM: Composition to Augment Language Models
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?
