2025年聚客大模型第三期(聚客第一第二、第三期) - 热盘搜-最大最专业的全能网盘资源搜索引擎
- file:AI大模型学习路径.pdf
- file:大神指南.docx
- file:9-如何使用注解.mp4
- file:20.FastAPI的使用.mp4
- file:1-初始Python.mp4
- file:3-macOS环境安装.mp4
- file:8-Python文档化应用场景.mp4
- file:12-JSON应用.mp4
- file:4-VSCode安装与应用.mp4
- file:11-Python程序调式和异常处理技巧.mp4
- file:10-字符编码的处理.mp4
- file:6-pip包管理工具.mp4
- file:19.dotenv使用.mp4
- file:【课件】Llama_Index(核心组件介绍).pdf
- file:demo_24.zip
- file:llama_index0.8.3.zip
- file:【课件】llamaindex实战(使用llamaindex构建自己的知识库).pdf
- file:【课件】RAG 专题.pdf
- file:day9-demo.zip
- file:【课件】Embedding 与向量数据库.pdf
- file:文生视频效果.mp4
- file:【录播】多模态大模型的概念与本地部署调用.mp4
- file:【录播】LangGraph.mp4
- file:ChatGPT提示技巧工程完全指南.pdf
- file:【语雀】Prompt Engineering 提示词工程.txt
- file:DALL-E-3绘图提示词大全.pdf
- file:实用Prompt指令大全.xlsx
- file:【课件】AutoGen Studio入门使用.pdf
- file:【录播】AutoGen Studio调用本地大模型实现多Agent应用.mp4
- file:【录播】ModeScope在线训练平台&服务器选配训练模型.mp4
- file:【MD】OpenAI 开发.md
- file:【资料】AI 领域基础概念.pdf
- file:OpenAI.apifox.json
- file:OpenAI-HK 操作指南.pdf
- file:【语雀】支持多模态输入的 AI Chatbot App.txt
- file:【语雀】自定义组件专题.txt
- file:【课件】LLaMa3打包部署(大模型转换为 GGUF 以及使用 ollama 运行).pdf
- file:【录播】LLaMa3打包部署(LLaMA-Factory模型评估与量化).mp4
- file:Lora微调权重(Llama-3-8B-Instruct).zip
- file:【录播】LLaMa3打包部署教程 (Lora 微调与模型合并).mp4
- file:【资料】Llama3大模型本地部署与调用.pdf
- file:【课件】LLaMa3微调(使用 LLaMA-Factory 微调 LLaMA3).pdf
- file:【录播】LLaMA_Factory微调Llama3.mp4
- file:【课件】基于LangChain和RAG的常用案例实战.pdf
- file:项目背景.png
- file:【录播】基于RAG的线上智能客服系统(微调篇).mp4
- file:RAG_项目源码.zip
- file:yolov5-master.zip
- file:【课件】视觉项目实战(基于yolo的骨龄识别项目_01).pdf
- file:【资料】YOLOv5目标侦测教程.pdf
- file:【录播】基于本地大模型的在线心理问诊系统(训练篇01).mp4
- file:【资料】xtuner微调大模型教程.pdf
- file:【课件】扩展项目(基于pytorch实现的语音识别).pdf
- file:【资料】OpenCompass文档.md
- file:redis-3.2.100_x64.zip
- file:【MD】LangChain Chat Model.md
- file:RedisDesktopManager-2022.5.zip
- file:vs_BuildTools.exe
- file:【录播】LangChain Tools & Agent.mp4
- file:【语雀】LangChain 基础.txt
- file:【资料】Hugging Face 模型微调训练(基于 BERT 的中文评价情感分析).pdf
- file:【录播】Hugging Face 模型微调训练(GPT2-中文生成模型定制化微调训练).mp4
- file:gpt2-chinese模型.zip
- file:【录播】Hugging Face 核心组件介绍.mp4
- file:【录播】Llama_index入门实操.mp4
- file:【录播】deep_seek与多卡训练.mp4
- file:模型微调与RAG.png
- file:1月8日.mp4
- file:未命名文档.PanD
- file:R1思维链与微调.png
- file:【课件】基于RAG的法律条文智能助手(方案篇).pdf
- file:【录播】基于 BERT 的中文评价情感分析.mp4
- file:2024-12-16 开班典礼.mp4
- file:【资料】Qwen模型打包部署(Lora模型合并&转GGUF模型部署).pdf
- file:【录播】HF模型转GGUF以及使用ollama部署.mp4
- file:【录播】GPT2-中文生成模型定制化微调训练.mp4
- file:Qwen1___5-1___8B-Chat-merged-q8.gguf
- file:【录播】Qwen模型打包部署(HF转GGUF&ollama+open_webui部署).mp4
- file:OpenCompassData-core-20240207.zip
- file:【资料】LMDeploy部署大模型.pdf
- file:【录播】Lora模型合并与推理测试.mp4
- file:【课件】LLama-Factory模型评估与QLora微调.pdf
- file:【录播】如何处理超长文本训练问题.mp4
- file:【录播】Xtuner微调大模型(QLora与Lora).mp4
- file:arthrosis.zip
- file:VOCdevkit.zip
- file:training_loss.png
- file:trainer_log.jsonl
- file:rag.py
- file:requirements.txt
- file:xtuner_data.zip
- file:llama_factory_data.zip
- file:output_conversations.csv
- file:data_utils.py
- file:internlm2_5_chat_7b_qlora_oasst1_e3.py
- file:qwen1_5_1_8b_chat_qlora_alpaca_e3.py
- file:Qwen2.5-3B-Instruct-lora.zip
- file:download_hf.py
- file:test02.py
- file:deepseek.png
- file:rng_state.pth
- file:tokenizer.json
- file:optimizer.pt
- file:README.md
- file:special_tokens_map.json
- file:scheduler.pt
- file:adapter_model.safetensors
- file:GPU服务器配置与使用.pdf
- file:文件位置.jpg
- file:llama2.pdf
- file:memory.db
- file:example_prompt_template.txt
- file:index.ipynb
- file:vocab_test.py
- file:2022年高考生物选择题专项训练(共6份).docx
- file:2020年高考生物选择题专项训练11-15套Word版含答案及解析.docx
- file:高考生物常识选择题单选题100道及答案.docx
- file:数据示例.xls
- file:ruozhiba_qaswift.json
- file:new_test.csv
- file:validation.csv
- file:高考生物选择题02.csv
- file:nohup.out
- file:向量数据库和RAG高级进阶.mp4
- file:RAG搭建流程和文本向量.mp4
- file:Python语法入门教程.md
- file:.gitattributes
- file:.pre-commit-config.yaml
- file:benchmarks.py
- file:CONTRIBUTING.md
- file:setup.cfg
- file:.dockerignore
- file:CITATION.cff
- file:hubconf.py
- file:LICENSE
- file:export.py
- file:tutorial.ipynb
- file:yolov5s.pt
- file:bone_filter_utils.py
- file:bone_detect_ui.ui
- file:detect_bone.py
- file:flask_test_img.py
- file:generation_config.json
- file:image__vector_store.json
- file:graph_store.json
- file:audio_processor.py
- file:hermes-function-calling-v1.csv
- file:pdf内容研报.pdf
- file:output.log
- file:joke_server.py
- file:langchain.png
- file:data_connection.jpg
- file:model_io.jpg
- file:misc.xml
- file:net.cpython-312.pyc
- file:encodings.xml
- folder:2025年聚客大模型第三期(聚客第一第二、第三期)
- folder:13_llamaindex
- folder:05_Rag基础
- folder:04_Embedding基础
- folder:12_多模态
- folder:08_LangGraph
- folder:14_AutoGen Studio
- folder:10_modelScope
- folder:07_langChain和RAG实战
- folder:15 项目实战(聚客一和二期)
- folder:09_Hugging Face
- folder:day_24Llama_Index(核心组件介绍)
- folder:day09_RAG 专题
- folder:day_23多模态(多模态大模型的概念与本地部署调用)
- folder:day01_AI领域基础概念
- folder:day_18Llama3大模型本地部署与调用
- folder:day_19LLaMa3微调_使用 LLaMA-Factory微调Llama3
- folder:day_30基于RAG的线上智能客服系统(微调篇)
- folder:day33_RAG项目实战(使用llamaindex构建自己的知识库)
- folder:day_27基于本地大模型的在线心理问诊系统(训练篇)
- folder:day_32基于pytorch的语音识别与语音唤醒
- folder:day05_LangChain 基础
- folder:day_15Hugging Face 模型微调训练(如何处理超长文本训练问题)
- folder:day25_deep-seek与多卡训练
- folder:day13_LLaMA-Factory模型导出量化
- folder:day28_基于RAG的法律条文智能助手(方案篇)
- folder:day05_基于 BERT 的中文评价情感分析
- folder:1_开班典礼-241216
- folder:day06_自定义vocab
- folder:day23_AutoGen_Studio搭建多智能体应用
- folder:day08_GPT2-中文生成模型定制化微调训练
- folder:day19_OpenCompass大模型评估
- folder:day18_LMDeploy部署大模型
- folder:day12_Lora模型合并与推理测试
- folder:day07_如何处理超长文本训练问题
- folder:day17_Xtuner微调大模型
- folder:2_RAG-Embedding-Vector
- folder:Llama-3-8B-Instruct
- folder:day31_demo
- folder:dataset
- folder:本地存储index的RAG
- folder:xtuner环境
- folder:llamafactory数据集转换代码
- folder:项目源码
- folder:demo_4
- folder:checkpoint-3700
- folder:代码与资料
- folder:模型微调数据集
- folder:RAG知识库数据获取
- folder:如果OpenCompassData-core-20240207.zip压缩包下载解压有问题就用当前目录对应的解压包
- folder:转换后的训练集与测试集
- folder:Lora模型与训练日志
- folder:yolov5-bone
- folder:hand_bone_detect
- folder:Qwen1.5-1.8B-Chat_cusm
- folder:storage
- folder:wakeup_test
- folder:trasnFormers_test
- folder:GPT2训练日志及权重
- folder:.idea
- folder:__pycache__
- folder:rag_law
- folder:example
- folder:train_2024-11-27-21-02-24
- folder:utils
- folder:classify
- folder:detect_result
- folder:ChnSentiCorp
- folder:bert-base-chinese
- folder:inspectionProfiles
分享时间 | 2025-03-19 |
---|---|
入库时间 | 2025-03-19 |
状态检测 | 有效 |
资源类型 | QUARK |
分享用户 | QQ*户 |
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