Clone the Abilities of Powerful LLMs into Small Local Models Using Knowledge Distillation

Boost the performance of local LLMs using supervision from larger one

In the realm of Natural Language Processing (NLP), cutting-edge Large Language Models (LLMs) offer remarkable few-shot learning and reasoning capabilities. However, the computational demands and latency associated with these models can sometimes render them impractical for certain applications. If your goal, for instance, is to develop a translation service, you probably don’t require your back-end LLM to possess the ability to crack jokes …

knowledge-distillation llama 2 llm lora machine learning