Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to InstructGPT or ChatGPT, but on a much smaller scale.
The official GitHub page for the survey paper "Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects"
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