Overcoming the limits of current LLM

Large language models (LLMs) have limitations such as hallucinations, lack of confidence estimates, and citations. Addressing these issues involves techniques like bootstrapping consistent data, supervised training, and logical inconsistency detection. Research is exploring ways to improve LLM performance by creating more consistent and reliable AI models.

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