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ערוץ מקור @bighitxtcom · Post #83708 · 12 במאי

📸 | [TWITTER] @yoajung_kr The way we love us, Yoajung 🩷✖️💙 A spoonful of freshness 💙 A spoonful of sweetness 🩷 A special collaboration coming soon ✨ Leave heart emojis in the comments as much as your excitement 🫶! 2026. 05. 16 Coming Soon #투모로우바이투게더#TOMORROW_X_TOGETHER#TXT

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חיפוש: #easy

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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 · 23.01.2026, 14:30

#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