This is The most comprehensive prompt hacking course available, which record our progress on a prompt engineering and prompt hacking course.
第17 章 开源大模型ChatGLM高级定制化应用实战|医疗问答GLMQABot搭建实战|基于ChatGLM搭建专业客服机器人||金融信息抽取实战-基于知识链的ChatGLM本地化知识库检索和智能答案生成|
This repository include all of my LLMs learning codes.
We compare traditional tools with LLM-based tools to evaluate their effectiveness in data analytics education for non-computational professionals and students. Our approach, validated through two case studies, shows that using generative AI as the primary tool significantly improves learning efficiency and project development speed.
从0开始大模型开发与微调|基于PyTorch与ChatGLM|PyTorch2.0深度学习环境搭建|从0学习深度学习|基础算法详解|神经网络|梯度下降|基于PyTorch卷积层的MNIST实战|可视化PyTorch数据处理和模型展示|RestNet实战|词嵌入|基于循环神经网络的中文情感分类|NLP编码器|预训练模型BERT|从1开始的NLP解码器|强化学习实战|ChatGLM使用详解高级微调|定制化应用|使用详解|训练自己的ChatGPT|只具有解码器的GPT2模型|基于加速库Accelerator的全量数据微调|基于Lora的模型微调|基于Huggingface的PERT模型微调
Add a description, image, and links to the llm-learning topic page so that developers can more easily learn about it.
To associate your repository with the llm-learning topic, visit your repo's landing page and select "manage topics."