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Source channel @githubtrending · Post #14936 · Jul 9

#jupyter_notebook This course guides you through building and deploying your own AI agents using popular tools like OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP over six weeks. You’ll learn to create agents that can think, act, and work together, with clear setup instructions for Windows, Mac, and Linux, plus support if you get stuck. The benefit is that you gain hands-on experience in the latest AI agent technology, making you ready to develop smart, autonomous systems for real-world tasks, while also connecting with a helpful community and having fun along the way[1][2][3]. https://github.com/ed-donner/agents

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@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite