黑马-2024 11版AI大模型三期 - 热盘搜-最大最专业的全能网盘资源搜索引擎
- file:论文导读.zip
- file:大模型训练营—简历优化 .pdf
- file:简历优化及面试注意事项.txt
- file:人工智能-求职自我介绍以及项目描述参考模板.docx
- file:11本AI大模型相关电子书.zip
- file:大模型加餐课(模型部署)_04_ev.mp4
- file:day05-综合项目与项目路演2_ev.mp4
- file:1-42 大模型加餐课(面试指导)_ev.mp4
- file:04-处理流程_ev .sz
- file:02-stablediffusion的基本概念_ev .sz
- file:02-clip模型_ev.mp4
- file:05-dataloader_ev.mp4
- file:01-项目介绍-1730813282_ev .sz
- file:03-preprcoess_ev .sz
- file:02-lora微调项目介绍_ev .sz
- file:01-function_tool_ev.mp4
- file:04-lora微调思想(重点)_ev.mp4
- file:10-(重点)元分身数字人_ev.mp4
- file:03-(重点)基于IFlyCode编写后端代码_ev.mp4
- file:05-(重点)AIGC堆友实现文生图以及图生图_ev.mp4
- file:07-(重点)Pika文生视频及图生视频效果_ev.mp4
- file:09-(重点)可灵AI工具使用说明_ev.mp4
- file:03-AR和Seq2Seq模型_ev.mp4
- file:01-语言模型的评估指标_ev.mp4
- file:1-1 大模型必备Python语言_9_ev.mp4
- file:04-modelscope_ev.mp4
- file:01-AssistantAPI_ev .sz
- file:开源的LLM.pdf
- file:作业.txt
- file:大模型应用工具实战02.pdf
- file:大模型项目研发流程.pdf
- file:LLM背景介绍.pdf
- file:大模型.xmind
- file:新媒体行业评论智能分类与信息抽取系统.pdf
- file:03-基于BERT+PET方式数据预处理介绍.pdf
- file:07-基于BERT+P-Tuning方式文本分类模型搭建.pdf
- file:01-GPTs的介绍及应用.pdf
- file:02-大模型prompt-Tuning方法进阶.pdf
- file:aigc_demo_origin.zip
- file:03-stableDiffusion详解.pdf
- file:05-腾讯云AI绘画.pdf
- file:01-LLM主流开源大模型介绍.pdf
- file:Pycharm2023补丁.rar
- file:VSCodeUserSetup-x64-1.89.1.exe
- file:02-神经网络基础.pdf
- file:03-Transformer详解.pdf
- file:拓展3_Pycharm配置Anaconda环境.pdf
- file:深度学习基础0530.pdf
- file:Python入门教程.pdf
- file:02-ChatGPT模型原理介绍.pdf
- file:StreamingTool-7.6.2-x64.exe
- file:yuan-live Setup 2.6.2.exe
- file:03-PPL.py
- file:拓展2_Pytorch-CUDA环境配置.pdf
- file:拓展1_深度学习拓展.pdf
- file:translate_in_many_style.zip
- file:星火大模型(博学谷).pdf
- file:03-LLM实现金融文本分类.pdf
- file:02-金融行业动态方向评估项目.pdf
- file:1.环境要求.pdf
- file:趋动云使用《补充》.pdf
- file:finance_text_matching.py
- file:finance_ie.py
- file:01-大模型提示工程指南.pdf
- file:02-信息抽取2.mp4
- file:01-Function Call的原理及简单应用.pdf
- file:PAI平台开通指南.pdf
- file:04-PAI_DSW的环境搭建.pdf
- file:03-阿里云注册及开通PAI.pdf
- file:基于GPT2搭建医疗问诊机器人.pdf
- file:02-基于LangChain+ChatGLM-6B实现物流行业信息咨询.pdf
- file:01-LangChain基础知识入门.pdf
- file:01-AI Agents的开发应用.pdf
- file:清洗emoji数据的demo数据集.zip
- file:sample-text-dialog-unsort-jsonl.zip
- file:02-千帆大模型的使用.zip
- file:图表分析数据.md
- file:train.py
- file:glm_config.py
- file:__init__.py
- file:pytorch_model-00002-of-00008.bin
- file:README.md
- file:configuration_chatglm.py
- file:tokenizer_config.json
- file:ice_text.model
- file:MODEL_LICENSE
- file:test_modeling_chatglm.py
- file:quantization.py
- file:pytorch_model.bin.index.json
- file:flask_predict.py
- file:readme
- file:00022-4286819098.png
- file:00090-3455426832.png
- file:model-plaidshirtprogrammer.ckpt
- file:glass.safetensors
- file:00061-4096775217.png
- file:00086-2356360213.txt
- file:03-pytorch池化API.py
- file:04-案例-卷积神经网络实现图像分类.py
- file:01-matplotlib图像加载.py
- file:02-RNN层的使用.py
- file:03-RNN实现周杰伦歌词生成.py
- file:08-反向传播BP算法.py
- file:12-案例-价格分类.py
- file:09-梯度下降优化方法.py
- file:01-激活函数-sigmoid.py
- file:10-学习率衰减方法.py
- file:Anaconda3-2023.09-0-Windows-x86_64.exe
- file:ide-eval-resetter-2.3.5.zip
- file:pycharm-professional-2021.2.1.exe
- folder:黑马-2024 11版AI大模型三期
- folder:3期AI大模型配套资料
- folder:06阶段:技术面试分享(赠送)
- folder:05阶段:多模态大模型应用实战
- folder:04阶段:⼤模型⾼级项目开发
- folder:day03-大模型加餐课
- folder:day01-综合项目与项目路演
- folder:day02 【项目】Stable Diffusion多模态大模型应用实战2
- folder:day07 【项目】新媒体行业评论智能分类与信息抽取系统
- folder:day03 【项目】大健康行业智能问诊系统2
- folder:day01 项目 基于知识库RAG的物流行业信息问答系统
- folder:day04 主流大模型介绍及大模型Prompt-Tuning方法入
- folder:day10 【项目】电商领域虚拟试衣系统
- folder:day01-大模型必备Python语言
- folder:day08 大模型开发工具Langchain详解3
- folder:day04 基于阿里魔搭社区的Agent应用
- folder:day02 【项目】财务助手
- folder:day01 大模型开发工具Function Call的原理及实践
- folder:day03 大模型Agent的原理及实践
- folder:10月19号
- folder:项目资料
- folder:02-代码(同22号)
- folder:03-weights
- folder:01-讲义_0915135902
- folder:01-code
- folder:ptune_chatglm
- folder:chatglm-6b
- folder:预训练模型
- folder:Gpt2_Chatbot
- folder:P-Tuning
- folder:img_Plaidshirtprogrammer
- folder:img-glasses
- folder:03-卷积神经网络
- folder:PyCharm
- folder:【5月26日】代码
- folder:01-Pytroch基本使用
- folder:Dataset-of-financial-news-classification
- folder:ChatGLM3_FunctionCall
- folder:.idea
- folder:Agent_Email_Generate
- folder:longchain
- folder:MiniMax_Assistant
- folder:data_handle
- folder:utils
- folder:checkpoints
- folder:__pycache__
- folder:bert-base-chinese
- folder:save_model
- folder:other_data
- folder:data_preprocess
分享时间 | 2025-03-20 |
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入库时间 | 2025-03-20 |
状态检测 | 有效 |
资源类型 | QUARK |
分享用户 | QQ*户 |
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