Shypd.aiThe largest open index of AI toolsllm_interview_note is an Open Source Research & Education tool that provides knowledge and interview questions related to large language models (LLMs) and algorithm engineering. It serves as a comprehensive resource for individuals preparing for AI-related job interviews.
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llm_interview_note is an open-source GitHub repository designed to be a comprehensive resource for individuals preparing for interviews in the field of large language models (LLMs) and algorithm engineering. It meticulously compiles knowledge and common interview questions, drawing from various online resources. The repository covers fundamental LLM concepts, architectural details like Transformer models and attention mechanisms, training datasets, distributed training, supervised fine-tuning, inference optimization, reinforcement learning (including RLHF and DPO), retrieval-augmented generation (RAG), and LLM evaluation. It also includes practical projects like 'tiny-llm-zh' for hands-on experience in building small-parameter Chinese LLMs, 'tiny-rag' for RAG system implementation, and 'llama3-from-scratch-zh' for understanding Llama3. The project encourages community contributions and offers an online reading link for easy access.
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