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LLM大语言模型的学习路径和各种最佳实践
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XingYu-Zhong
02-07 19:47
#
LLMsStudy
收集大语言模型的学习路径和各种最佳实践
LLM的初步探究
随着大模型的热度越来越高,我们有必要对大于语言模型进行深入的研究
README.md
大模型推荐.md
大语言模型是什么?.md
没有卡的条件下我们能做什么?.md
论文列表.md
论文解读
5个子项
pic
101个子项
3种note.png
Agent Instructions生成过程.png
AutoGen实验.png
AutoGen框架.png
BBH_result.png
BFS与DFS算法结合ToT.png
CoN prompt.png
CoT and SG CoT.png
CoT approaches.png
CoT formulations.png
CoT_Agent_fw.png
HELM任务分类.png
HKFR_Experimental.png
HKFR_key.png
LATS整体框架.png
LATS迭代过程.png
MCTS_PromptAgent.png
MedPrompt 算法.png
MedPrompt_SOTA.png
MedPrompt图解.png
MedPrompt表现.png
MedPrompt跨域泛化.png
NLU_result.png
QA性能.png
RAG Components.png
RAG Framework.png
RAG vs Self-RAG.png
RAG vs 其他.png
RAG vs 微调.png
RAG时间线.png
RALM vs RALM+CoN.png
RAP思维框架.png
Reflexion框架.png
Reflexion过程.png
STP.png
STP_result.png
Self-RAG tokens.png
Self-generate CoT tem.png
Self_RAG 消融.png
Self_RAG 算法.png
Self_RAG 结果.png
ToT框架与其他三种方法.png
UCT公式.png
Winning rate (%) between zeroshot, zero-shot CoT, and zero-shot AgentInstruct.png
Zero-shot Agent instructions.png
agent研究总结.png
collm_data.png
collm_key.png
collm_warm_cold.png
example_PromptAgent.png
expert_prompt.png
kgllm01.png
kgllm02.png
kgllm03.png
kgllm04.png
kgllm05.png
kgllm06.png
kgllm07.png
kgllm08.png
kgllm09.png
kgllm10.png
kgllm11.png
kgllm12.png
kgllm13.png
kgllm14.png
kgllm15.png
kgllm16.png
kgllm17.png
latm01.png
latm02.png
latm03.png
latm04.png
latm05.png
llara01.png
llara02.png
llara03.png
llara04.png
llara05.png
llara06.png
llara07.png
llara08.png
metagpt01.png
metagpt02.png
metagpt03.png
p_m_r_CoT.png
rs_vs_llmrs.png
scrl01.png
scrl02.png
wizardlm1.png
wizardlm2.png
与SC对比.png
与few-shot对比.png
代理各方面应用.png
代理架构模块.png
代理能力获取方法.png
六种AutoGen框架的应用.png
噪声鲁棒性.png
多模型对比.png
未知鲁棒性.png
消融实验结果.png
蒙特卡洛树规划.png
大模型+推荐系统
4个子项
CoLLM Integrating Collaborative Embeddings into Large Language Models for Recommendation(中科大).md
LLaRA Aligning Large Language Models with Sequential Recommenders.md
RecSys2023Heterogeneous Knowledge Fusion A Novel Approach for Personalized Recommendation via LLM.md
RecSys2023:Large Language Models for Generative Recommendation A Survey and Visionary Discussions(LLM推荐系统综述).md
大模型+知识图谱
1个子项
Unifying Large Language Models and Knowledge Graphs A Roadmap(大模型+知识图谱综述).md
大模型+金融
1个子项
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction.md
大模型
17个子项
A Survey on Large Language Model based Autonomous Agents(基于LLM的自主智能体的综述).md
Agent Instructs Large Language Models to be General Zero-Shot Reasoners.md
AutoGen Enabling Next-Gen LLM Applications via Multi-Agent Conversation.md
Can Generalist Foundation Models Outcompete Special-Purpose Tuning Case Study in Medicine.md
Chain-of-Note Enhancing Robustness in Retrieval-Augmented Language Models.md
Igniting Language Intelligence The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents.md
LANGUAGE AGENT TREE SEARCH UNIFIES REASON-ING ACTING AND PLANNING IN LANGUAGE MODELS.md
Large Language Models as Tool Makers.md
METAGPT META PROGRAMMING FOR AMULTI-AGENT COLLABORATIVE FRAMEWORK.md
PromptAgent Strategic Planning with Language Models Enables Expert-level Prompt Optimization.md
Reasoning with Language Model is Planning with World Model.md
Reflexion Language Agents with Verbal Reinforcement Learning.md
Retrieval-Augmented Generation for Large Language Models A Survey(RAG综述).md
Self-RAG Learning to Retrieve, Generate, and Critique through Self-Reflection.md
Take a Step Back Evoking Reasoning via Abstraction in Large Language Models.md
Tree of Thoughts Deliberate Problem Solving with Large Language Models.md
WizardLM Empowering Large Language Models to Follow Complex Instructions.md
XingYu-Zhong/LLMsStudy
LLM大语言模型的学习路径和各种最佳实践
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