#稀土掘金 适配新版完了，url 多了个验证，所以要多抓一个 打开 F12，手动签到完之后，找到 https://api.juejin.cn/growth_api/v1/check_in 然后获取 url 的 uuid=123456&spider=0&msToken=xxxxxx&a_bogus=xxxxxx 填写示例： export JUEJIN_COOKIE='xxxxx#uuid=123456&spider=0&msToken=xxxxxx&a_bogus=xxxxxx' 用 # 分开
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@R4marketing · Post #806 · 2021/08/13 08:00
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
@testflightynoti · Post #37780 · 2026/05/07 20:30
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@testflightynoti · Post #37748 · 2026/05/07 08:21
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@githubtrending · Post #15433 · 2026/01/23 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