The paper proposes a new method for improving Large Language Models (LLMs) without forgetting previous knowledge. The method involves expanding Transformer blocks and tuning them using new corpus. The resulting model, LLAMA PRO-8.3B, performs well in general tasks, programming, and mathematics, surpassing existing models in the LLaMA family. The findings contribute to the development of advanced language agents.

https://arxiv.org/abs//2401.02415

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