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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 "A Survey on Large Language Models: Applications, Challenges, Limitations, and Practical Usage".