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Enhancing Large Language Models with SLEICL
This document presents a comprehensive overview of the Strong LLM Enhanced In-Context Learning (SLEICL) methodology, which leverages the capabilities of strong language models to enhance the performance of weaker models. By utilizing innovative sample selection methods and effective grimoire generation strategies, SLEICL enables AI engineers to deploy adaptable models that can efficiently handle a variety…
Tag: STUDENT_TEACHER_ARCHITECTURE
AI learning setup: smaller model learns from larger one. Explore knowledge distillation, model compression, and efficient AI training methods.