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Source channel @githubtrending · Post #15500 · Feb 18

#typescript Qwen Code is a free, open-source AI agent that runs in your terminal to understand codebases, automate tasks, refactor functions, and generate tests. Install easily with one curl command on Linux/macOS or Windows, then run "qwen" and sign in via Qwen OAuth for 1,000 free daily requests or use API keys from OpenAI/Anthropic/Gemini. It offers subagents for complex work, IDE integrations, and headless mode. You benefit by shipping code faster, reducing tedious work, and staying productive in your terminal without switching tools. https://github.com/QwenLM/qwen-code

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​​Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy

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@githubtrending · Post #15433 · 01/23/2026, 02:30 PM

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG