GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
$ git clone https://github.com/lobehub/lobe-chat.git $ cd lobe-chat $ pnpm install $ pnpm run dev 如果你希望了解更多详情,欢迎可以查阅我们的📘 开发指南 🤝 参与贡献 我们非常欢迎各种形式的贡献。如果你对贡献代码感兴趣,可以查看我们的 GitHubIssues和Projects,大展身手,向我们展示你的奇思妙想。
你可以从路径 /home/byzerllm/projects/sft/jobs/sft-william-20230809-13-04-48-674fd1b9-2fc1-45b9-9d75-7abf07cb84cb/finetune_model/final 下载已完成微调的模型,或者将模型复制到Ray集群中的所有其他节点上。现在,尝试部署这个经过微调的模型:...
git clone git@github.com:jina-ai/reader.git cd backend/functions npm install 原理分析 前面有较长的代码分析,可以直接看到总结部分看整体实现。 http 接口 主要的代码在cloud-functions/crawler.ts里,初步看是基于civkit开发了一个web服务,入口代码是crawl方法。
Hardware accelerated language model chats on browsers. Latest version: 0.2.77, last published: 25 days ago. Start using @mlc-ai/web-llm in your project by running `npm i @mlc-ai/web-llm`. There are 7 other projects in the npm registry using @mlc-ai/web-l
Prompt flowin Azure Machine Learningstreamlines the development, evaluation, and continuous integration and deployment (CI/CD) of prompt engineering projects. It empowers LLM application developers with an interactive experience that combines natural language prompts, templates, built-in tools, and Python...
We are super excited to release DeepSpeed ZeRO++ and make it available for anyone in the AI community. To get started, please visit our GitHub page for LLM training (opens in new tab). ZeRO++ for DeepSpeed-Chat will be released in the coming weeks. Get LLM ...
Generative Agents: Interactive Simulacra of Human Behavior:This was one of the first projects to build a true swarm of agents: a solution made up of multiple agents interacting with each other in a decentralized manner. If you are looking for more reading material, I find theAwesome LLM-Powere...
git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git Navigate to the desired project directory cd awesome-llm-apps/chat_with_gmail Install the required dependencies pip install -r requirements.txt Follow the project-specific instructions in each project's README.md file to set up ...