Distill Large Language Models With LLM-Neo For Efficiency
Large language models require significant resources, but LLM-Neo distills knowledge into smaller models efficiently.
This is a Plain English Papers summary of a research paper called Distill Large Language Models Into Compact AI With LLM-Neo. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Large language models (LLMs) are powerful but require significant computational resources to train and deploy. Knowledge distillation is a technique to compress and efficiently transfer knowledge from a large model to a smaller one. LLM-Neo is a parameter-efficient knowledge distillation approach that aims to distill the knowledge of a large LLM into a smaller m...