保姆级LLM大模型实战营:Llama2+ChatGLM微调+DP分布式+函数调用项目实操
LLM大模型实战,深度学习项目实操
编辑点评
实战性强,涵盖LLM微调、分布式训练和函数调用,适合AI初学者和进阶者。
⭐ 编辑推荐
本课程深入浅出地讲解LLM大模型实战,从环境搭建到项目实操,助你掌握LLM技术。
课程亮点
• LLM大模型实战
• 微调与分布式训练
• 函数调用项目实操
课程目录
📁 LLM大模型视频
📁 📁 布丁部分
📁 📁 4_function_call
4_function_call资料.zip [1.8 MB]
📁 📁 5_code_interpreter
📁 📁 3_微调
3_微调资料.zip [1.8 MB]
📁 📁 1_环境
1_环境资料.png [493.5 KB]
📁 📁 2_prompt
9_prompt_改写任务1_92004_7443.mp4 [62.5 MB]
8_prompt_技巧2_92004_9018.mp4 [42.3 MB]
55_手写项目_92004_2250.mp4 [289.2 MB]
7_prompt_技巧_92004_1226.mp4 [88.9 MB]
5_vscode远程debug配置.mp4_92004_3201.mp4 [82.6 MB]
6_prompt_概述_92004_3702.mp4 [15.9 MB]
53_akshare接口_92004_1877.mp4 [49.7 MB]
54_gradio-界面设计_92004_4973.mp4 [40.9 MB]
50_手写code-interpreter_92004_9161.mp4 [140.9 MB]
52_项目演示_92004_7303.mp4 [13.4 MB]
51_code-interpreter进阶_92004_2981.mp4 [72.7 MB]
4_vscode远程连接服务器.mp4_92004_2166.mp4 [34.7 MB]
49_code-interpreter-概述_92004_9343.mp4 [26.2 MB]
46-手写function_call-2_92004_8197.mp4 [158.5 MB]
48_function-all_官方代码逐行解读_92004_3423.mp4 [97.2 MB]
47-streamlit-debug环境配置_92004_8062.mp4 [42.9 MB]
45-手写function_call-1_92004_9993.mp4 [66.1 MB]
44-function-call实例1_92004_4232.mp4 [49.2 MB]
43-function_call概述2_92004_6180.mp4 [24.3 MB]
40-codegeex-微调数据处理_92004_1841.mp4 [137.7 MB]
41-codegeex-微调结果评测_92004_8524.mp4 [48.9 MB]
42-function-call概述_92004_6764.mp4 [30.4 MB]
3_配置服务器jupyter环境.mp4_92004_9365.mp4 [75.4 MB]
38-微调优化_92004_2294.mp4 [94.6 MB]
39-codegeex微调-数据准备_92004_5237.mp4 [43.2 MB]
37_微调结束后-推理_92004_8087.mp4 [48.3 MB]
33_cha_92004_7508.mp4 [215.4 MB]
36_微调模型加载1_92004_1639.mp4 [36.8 MB]
34_cha_92004_4112.mp4 [137.2 MB]
35_微调结果评测_92004_2611.mp4 [25.1 MB]
32_cha_92004_2181.mp4 [114.6 MB]
31_推理、训练、量化占用显存_92004_9704.mp4 [83.6 MB]
30_glm2的tokenizer_92004_8464.mp4 [49.5 MB]
2_模型文件下载方法2.mp4_92004_5849.mp4 [37.2 MB]
29_流式与非流式_chat_generate_92004_3743.mp4 [52.3 MB]
28_cha_92004_1037.mp4 [53.9 MB]
25_deepspeed_bert_4_92004_8823.mp4 [161.3 MB]
27_cha_92004_4594.mp4 [53.0 MB]
26_deepspeed_多机多卡配置_92004_3616.mp4 [37.0 MB]
24_deepspeed_bert_3_92004_1479.mp4 [59.3 MB]
23_deepspeed_bert_2_92004_5480.mp4 [8.5 MB]
22_deepspeed_bert_1_92004_4161.mp4 [44.2 MB]
21_deepspeed_demo实例_92004_7514.mp4 [42.4 MB]
1_模型文件下载方法1.mp4_92004_1768.mp4 [31.9 MB]
19_deepspeed_配置_92004_4449.mp4 [38.5 MB]
18_deepspeed_概述_92004_2977.mp4 [59.8 MB]
17_prompt_数据制作4_92004_2197.mp4 [122.4 MB]
16_prompt_数据制作3_92004_5204.mp4 [87.7 MB]
15_prompt_数据制作2_92004_3970.mp4 [27.5 MB]
13_prompt角色扮演_92004_6573.mp4 [121.1 MB]
14_prompt_数据制作1_92004_2551.mp4 [45.8 MB]
12_prompt_抽取任务2_92004_3683.mp4 [90.3 MB]
11_prompt_抽取任务1_92004_1836.mp4 [54.2 MB]
10_prompt_改写任务2_92004_2017.mp4 [72.2 MB]
0_课程介绍_92004_5818.mp4 [27.9 MB]
📁 📁 季康部分
📁 📁 3_高效微调
3_高效微调必看.zip [1.8 MB]
📁 📁 1_LLM综述
1_LLM综述文档.png [493.5 KB]
📁 📁 2_手写llama2源码
2_手写llama2源码文档.png [493.5 KB]
9-1.6ptuningv2_代码2_92004_5740.mp4 [147.3 MB]
9-1.3ptuningv1原理以及代码_92004_8067.mp4 [184.6 MB]
9-1.5ptuningv2_代码1_92004_2734.mp4 [47.7 MB]
9-1.4ptuningv2原理_92004_1843.mp4 [15.8 MB]
9-1.2pet模型和训练验证_92004_2807.mp4 [108.5 MB]
9-1.1pet原理&dataloader_92004_8222.mp4 [149.6 MB]
8-1.9_llama2模型组装_92004_2995.mp4 [113.3 MB]
8-1.6_Llama2的Attention_代码_ev_92004_3748.mp4 [250.7 MB]
8-1.8_Llama2的ffn_代码_92004_2605.mp4 [34.8 MB]
8-1.7_Llama2的ffn_原理_92004_8361.mp4 [10.7 MB]
8-1.6_Llama2的Attention_代码_92004_6038.mp4 [193.6 MB]
8-1.5_Llama2的Attention_原理_92004_5253.mp4 [43.7 MB]
8-1.3_Llama2的ROPE_原理_92004_4078.mp4 [155.4 MB]
8-1.4_Llama2的ROPE_代码_92004_7272.mp4 [91.1 MB]
8-1.2_Llama2的rmsnorm_代码_92004_1008.mp4 [50.1 MB]
8-1.1_Llama2的rmsnorm_原理_92004_1310.mp4 [37.2 MB]
7-llm自动生成prompts_92004_7338.mp4 [46.3 MB]
6-1.5_llm的知识编辑_92004_3017.mp4 [48.9 MB]
季康部分必看.zip [1.8 MB]
6-1.4_llm幻觉的常见的解决方式_92004_6368.mp4 [35.5 MB]
9-1.7ptuningv2_代码3_92004_9095.mp4 [4.9 MB]
6-1.3幻觉产生的原因_92004_5433.mp4 [29.3 MB]
6-1.2幻觉的评估方法_92004_8266.mp4 [17.8 MB]
6-1.1_llm的幻觉定义_92004_5099.mp4 [34.3 MB]
5-llm的评价标准_92004_4969.mp4 [39.2 MB]
4-llm的常见架构_92004_6882.mp4 [76.7 MB]
3-llm的训练流程以及常见的概念_92004_5797.mp4 [96.4 MB]
2-llm的发展历程_part2_92004_8398.mp4 [66.9 MB]
2-llm的发展历程_part1_92004_5317.mp4 [45.1 MB]
10.1.9_qlora的nf4_92004_8999.mp4 [41.8 MB]
10.1.9_qlora的双重量化_92004_1368.mp4 [18.3 MB]
10-1.8_int8量化原理_92004_2856.mp4 [57.0 MB]
10.1.10_qlora的代码_92004_4844.mp4 [24.9 MB]
10-1.6_lora推理部分_问题生成_92004_5538.mp4 [135.5 MB]
10-1.7_lora_推理_fewshot回答_92004_5391.mp4 [58.8 MB]
10-1.4_llama2环境安装以及部分bug排查_92004_2890.mp4 [220.0 MB]
10-1.5_lora训练_92004_8425.mp4 [147.0 MB]
10-1.2_rams数据处理_2_92004_4180.mp4 [77.9 MB]
10-1.3_lora原理部分介绍_92004_4962.mp4 [40.0 MB]
10-1.1_llama2任务简介_92004_2803.mp4 [136.5 MB]
10-1.2_rams数据处理_1_92004_8523.mp4 [91.7 MB]
1-llm简要概览_92004_2031.mp4 [16.0 MB]
0-课程大纲简要说明_92004_7237.mp4 [6.7 MB]
LLM大模型视频必看.png [493.5 KB]
📁 文档
大语言模型(Large Language Model,LLM)综述_92004_4522.pdf [4.6 MB]
sft高效微调_92004_5822.pdf [1.8 MB]
面试_92004_7809.pdf [362.2 KB]
配置服务器的jupyter环境_92004_3083.pdf [193.2 KB]
手写llama2源码_92004_7733.pdf [541.5 KB]
文档必看.png [493.5 KB]适合人群
- AI初学者
- AI进阶者
- 对LLM感兴趣的开发者
学习收获
掌握LLM微调技术
学会分布式训练方法
完成实际项目开发
祝您学习愉快!
学有所成,前程似锦!






