Building Large Language Model Predictive Confidence to Navigate Uncertainty with Resiliency and Conviction Environments are in constant change as physical world and contextual signals evolve to reflect new meaning or redefine ground truth. Large language models (LLM) have also evolved to interpret and understand these signals, from visual inspection of the physical world to formulating contextual meaning of synthetic datasets. The rate of change in these signals is increasing

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An Adaptive Large Language Model Learning Framework Using Distributed Parameter Sharing with Automated Feedback

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