863.2025年AGI大模型第12期网盘资源免费观看百度云网盘链接提取码分享下载
- file:Python语言基础课程介绍.pdf
- file:02AG大模型全栈实践班【AGI大模型2512期】23-Agent 数字人应用-25.7.14【耗时整理‖免费分享：cunlove.cn】.mp4
- file:Agent数字人.zip
- file:24-Agent可视化平合 Coze-25.7.21【公重号：CunWorkNotes】.mp4
- file:1何为开源大模型、为何要开源大模型（密码：mps112233）.pptx
- file:何为开源大模型、为何要开源大模型【耗时整理‖免费分享：cunlove.cn】.mp4
- file:大模型部署实训【公重号：CunWorkNotes】.mp4
- file:27633794_tenghuiwangxiao_live_493431_1_2025-04-22-19-24-07_2025-04-22-21-44-25【耗时整理‖免费分享：cunlove.cn】.mp4
- file:12期-1-2、大语言模型的基础认知-大白.pptx
- file:PythonProject12.rar
- file:PythonProject12(1)【耗时整理‖cunlove.cn】.rar
- file:第一课（密码：zhipo123）【耗时整理‖免费分享：cunlove.cn】.pdf
- file:01【耗时整理‖cunlove.cn】.mp4
- file:Vibe Coding 调研作业【公重号：CunWorkNotes】.pdf
- file:图片的描述生成任务实践.pdf
- file:文件目录.png
- file:CV+NLP图像描述生成.ipynb
- file:6 注意力机制详解 - 自然语言处理基础V2.5.pdf
- file:总复习v1.xmind
- file:基于MOPASS(魔泊云)平台的Qwen2.5-VL微调代码运行指南（带书签）.pdf
- file:Qwen25-VL【耗时整理‖免费分享：cunlove.cn】.zip
- file:resnet_pet_classification-main.zip
- file:第二课（密码：zhipo123）.pptx
- file:GoogLeNet+-+深度学习与CV.pdf
- file:AlexNet.ipynb
- file:1-AlexNet网络实现.pdf
- folder:863.2025年AGI大模型第12期
- folder:预习课程
- folder:大模型全栈班-L4阶段
- folder:23-Agent 数字人应用-25.7.14
- folder:22-何为开源大模型、为何要开源大模型25.7(1).24
- folder:23-大模型微调数据集的生成-25.7(1).26
- folder:25-企业级大模型部署实战-25.7.28
- folder:01-开班典礼-25.4.22
- folder:05-通俗易懂大模型核心原理-25.5.9
- folder:04-Prompt Engineering实战-25.5.6
- folder:01-多模态应用概述与快速入门-25.7.27-kimi老师
- folder:10--基于图像的文本描述生成-25.8.26
- folder:07-注意力机制及在多模态中的应用-25.8.15
- folder:05、06-Transformer模型与ResNet实践-25.8.8~8.13-kimi老师
- folder:11、12-阶段总结与多模态深入-25.8.29
- folder:02、03、04-多模态技术基础与实践-25.7.30、25.8.1、25.8.5-Kimi老师
- folder:08、09-注意力机制的机器翻译与文本生成实践-25.8.20-Kimi老师
- folder:19-Agent智调：Funcation Calling-25.6.30
- folder:12- LangChainV0.3从入门到精通（四）-25.6.5-云帆老师
- folder:06- RAG认知与项目实战-25.5.13
- folder:15-基于LangChain的RAG系统优化实践（三）-25.6.16
- folder:16-掌握RAG应用评估技能和工具-25.6.19
- folder:17- RAG项目综合应用和实战-25.6.23-云帆老师
- folder:预习二：Mac 系统开发环境搭建
- folder:预习六：RAG系统搭建流程
- folder:预习四：开课前预习篇
- folder:预习三：python语法
- folder:预习五：Langchain开发框架
- folder:Mac安装python解释器与pycharm的安装-安装教程在珊瑚课堂
- folder:Python代码-（不含代码）
- folder:Windows系统下Python和pycharm安装包及教程
- folder:typora
- folder:coze实践
- folder:基于seq2seq的西班牙语到英语的机器翻译任务
- folder:其他参考资料
- folder:Anaconda安装包
- folder:莎士比亚风格的文本生成任务
- folder:Agent核心认知框架
- folder:基于RAG实现公司HR制度智能问答系统
- folder:医疗混合检索实战
- folder:exh_prsr
- folder:13_面向对象进阶
- folder:06_Python元组和字典
- folder:08_函数基础
- folder:10_列表推导式和生成器和包与模块管理
- folder:15_虚拟环境
- folder:05_Python列表和数值&随机数操作
- folder:09_函数作用域和装饰器
- folder:PyCharam安装包
- folder:pythonProject
- folder:training_checkpoints
- folder:Mac系统
- folder:Windows系统
- folder:命理机器人
- folder:__pycache__
- folder:inspectionProfiles
- folder:.github
- folder:requirements
- folder:scripts
- folder:flagged
- folder:pets_datasets
- folder:templates
- folder:local_qdrand
- folder:12作业答案
- folder:workflows
- folder:ISSUE_TEMPLATE
- folder:rexnet
- folder:convnextv2
- folder:xception
- folder:efficientnet
- folder:poolformer
- folder:mobilevit
- folder:shufflenetv1
- folder:swintransformerv2
- folder:scheduler
- folder:hello2_20250506_222045
- folder:package1
- folder:non_cpu
- folder:2024-04-16-15-27-13
- folder:Include
- folder:goldfish
- folder:guinea-pig
- folder:hedgehog
- folder:yangtuo
- folder:charset_normalizer-3.4.1.dist-info
- folder:urllib3-2.4.0.dist-info
- folder:_distutils_hack
- folder:itsdangerous
- folder:markupsafe
- folder:pkg_resources
- folder:jinja2
- folder:urllib3
- folder:middleware
- folder:datastructures
- folder:routing
- folder:_vendor
- folder:autocommand
- folder:jaraco.functools-4.0.1.dist-info
- folder:more_itertools
- folder:backports.tarfile-1.2.0.dist-info
- folder:typing_extensions-4.12.2.dist-info
- folder:importlib_metadata
- folder:_validate_pyproject
- folder:pyproject_hooks
- folder:msgpack
- folder:cachecontrol
- folder:resolvelib
- folder:truststore
- folder:distributions
- folder:webencodings
- folder:gettext_translations
- folder:tarfile
- folder:test_links_priority
- folder:my-test-package_unpacked-egg
- folder:fr_FR
- folder:_securetransport
- folder:LC_MESSAGES
- folder:EGG-INFO
扫码获取资源