Confidence Aware Reinforcement Learning: Advancing Large Language Models in Dynamic Environments
Towards AI
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Generative AI
AI Research
Reinforcement Learning
Building Large Language Model Predictive Confidence to Navigate Uncertainty with Resiliency and Conviction Environments are in constant change as the 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 at an exponential gradient that is unbounded and have become new channels for LLM content.