CALM GPT
Try These Prompts
Click on an example to start a conversation:
- 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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