![CALM GPT](https://files.oaiusercontent.com/file-SVPWytAWgUsB0ESYl7Gi5q7T?se=2124-01-05T16%3A39%3A57Z&sp=r&sv=2021-08-06&sr=b&rscc=max-age%3D1209600%2C%20immutable&rscd=attachment%3B%20filename%3Df5f5df87-103c-4e5e-8166-380bf80321c6.png&sig=LLOx3HZQ8JeSCyQYOz%2BGL3Vfg2PIbL6dnv3F2a0jZhM%3D)
CALM GPT
Explanation about CALM: Composition to Augment Language Models
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General Info 📄
Author: Kukuh Tripamungkas W
Privacy Policy:
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Last Updated:
Jan 29, 2024
Share Recipient: marketplace
Tools used: browser, dalle
Additional Details
ID: 93433
Slug: calm-gpt-1
Created At: Jan 30, 2024
Updated At: Jul 01, 2024
Prompt 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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