Microsoft Researchers Propose a Novel Framework for LLM Calibration Using Pareto Optimal Self-Supervision without Using Labeled Training Data

Recent developments have seen a remarkable increase in the capability of large language models (LLMs), with generative pretrained transformer (GPT) models showing significant promise. The transition from GPT-3 to GPT-4, as well as the appearance of other LLMs like PaLM and LLaMA, demonstrated a considerable improvement in problem-solving and natural language understanding skills. Additionally, generative […]

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