This post provides a comprehensive course on large language models (LLMs), covering topics such as LLM fundamentals, Python for machine learning, neural networks, natural language processing (NLP), supervised fine-tuning, reinforcement learning from human feedback, evaluation, quantization, new trends, running LLMs, building a

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📝 Notebooks🧩 LLM Fundamentals🧑‍🔬 The LLM Scientist👷 The LLM EngineerAcknowledgements

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