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Source channel @githubtrending · Post #15045 · Aug 10

#typescript#nodejs#openai#typescript You can use the OpenAI TypeScript and JavaScript library to easily connect your apps to OpenAI’s API, letting you generate text, handle streaming responses, upload files, verify webhooks, and more with simple code. It supports Node.js, Deno, Bun, and browsers (with caution), offers full TypeScript types for better coding accuracy and IDE help, and handles errors and retries automatically. You can also use it with Microsoft Azure OpenAI and build real-time chat with WebSocket. This library saves you time and effort by providing ready-to-use, well-documented tools to integrate AI features smoothly into your JavaScript or TypeScript projects. https://github.com/openai/openai-node

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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