This AI Paper Introduces SuperContext: An SLM-LLM Interaction Framework Using Supervised Knowledge for Making LLMs Better in-Context Learners

Large language models(LLMs) undergo extensive training on diverse datasets, allowing them to mimic human-like text generation. However, LLMs need help maintaining accuracy and reliability, particularly when they encounter data or queries that deviate significantly from their training material. Despite their impressive capabilities, LLMs face significant challenges, particularly in enhancing their reliability and accuracy in unfamiliar […]

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