km1994/llms_paper
该仓库主要记录 LLMs 算法工程师相关的顶会论文研读笔记（多模态、PEFT、小样本QA问答、RAG、LMMs可解释性、Agents、CoT）
This repository provides comprehensive study notes for AI engineers working with Large Language Models (LLMs). It compiles research papers, explanations, and practical insights on various LLM topics like multimodal models, fine-tuning, retrieval-augmented generation (RAG), and agent design. The resource helps AI engineers stay updated on the latest advancements and apply them to real-world tasks.
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Use this if you are an LLM algorithm engineer looking for detailed explanations and practical applications of cutting-edge research papers in the field.
Not ideal if you are a non-technical user seeking a simple explanation of what LLMs are or how to use them without delving into their underlying algorithms and research.
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