Shypd.aiThe largest open index of AI toolsHappy-LLM is an Open Source Research & Education tool that provides a systematic learning tutorial for large language models. It guides users from NLP basics to hands-on LLM implementation and training.
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Happy-LLM offers a comprehensive, open-source tutorial designed to help users deeply understand the principles and training processes of large language models (LLMs). Starting with fundamental NLP concepts, the project progressively delves into LLM architecture, covering Transformer mechanisms, pre-trained language models, and the core ideas behind LLMs. It provides practical guidance on building a complete LLaMA2 model from scratch, including tokenizer training and pre-training small LLMs. The tutorial also covers advanced topics like supervised fine-tuning, efficient fine-tuning methods (LoRA/QLoRA), and real-world applications such as RAG and Agent technologies, making it ideal for those looking to gain hands-on experience in the LLM field.
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Open Source · Free
Free
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