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Source channel @olddriverGDstudy · Post #12 · Mar 17

#语录 【关于cj中的曲线救国】 一定要好好对待每一段男女关系 要相信 一切都是最好的安排 我们要感恩生活中每一次不期而遇的温暖 做不成男女朋友 那就是要做炮友 渣男怎么了 渣男也有爱 虽然我们爱的比较短暂 直接 毕竟我是职业打针选手 有时候 要善于把痛点转化成卖点 dym来了又怎样 虽然不至于浴血奋战 但是可以曲线救国

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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