Abstract: This study proposes a large language model optimization method based on the improved LoRA fine-tuning algorithm, aiming to improve the accuracy and computational efficiency of the model in ...

Modern large language models (LLMs) can generate them all, though homework-shirkers should beware: the models may get some facts wrong, and are prone to flights of fancy that their creators call ...

mimicking the massive troves of information used to train large language models (LLMs). The researchers note that imitation learning — in which the agent learns by following an individual ...

When an algorithm or model can accurately guess ... This links the idea of making good guesses—which is what large language models like GPT-4 do very well—to achieving good compression.