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Источник @procode404 · Post #3988 · 19 мар.

​🔥Как работает нейросеть? — [9:59] Нейросети уже заполонили мир, особенно ChatGPT и Midjourney, поэтому важно приблизительно понимать как они работают. В этом ролике речь пойдёт об общем строении ИИ, что такое нейрон, вес и как подбирается результат. Перейти к просмотру #видео#ai

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@seeker_rc · Post #19851 · 07.05.2026, 05:25

做了个 AI 工作台小站,已开源,大家帮我看看有没有商业化的潜力? ✏ 做了个 AI 工作台小站,已开源,大家帮我看看有没有商业化的潜力? 先上链接:<https://liteflow.nbtxy.com/> 代码已开源:<https://github.com/nbtxy> ———————— 📚 这是什么? 一个轻量级的 AI 工作台,把日常用 AI 的场景整合到一起,不用在多个页面之间来回切换。 目前集成的功能包括(持续更新中): ⦁ AI 多轮对话 - 多模型自动切换,支持上下文记忆 ⦁ 内容生成 - 文案生成,图片生成 ⦁ 集成飞书 ⦁ 支持 MCP 连接其他平台 📚 为什么做... via V2EX 分享创造 标签: #AI#开源#工作台 ⚡️探索号频道 ⚡️探索者频道 ⚡️探索者交流群 ⚡️ Youtube 频道:科技探索者 每天推荐有趣内容,欢迎订阅、转发。

APP喵-软件资源共享

@appmew · Post #16697 · 21.03.2026, 02:25

腾讯QClaw龙虾全面开放:无需邀请码,随时随地,微信一下,QClaw 帮你高效干活 🏷标签:#资讯#龙虾#AI ☁链接:点击获取 ⭐频道😮群聊✏投稿🌍中文

Machinelearning

@ai_machinelearning_big_data · Post #8386 · 28.08.2025, 17:03

⚡️200+ готовых сценариев для n8n Нашёл простой и полезный ресурс: GitHub-репозиторий с 200+ бесплатными workflow для n8n. Темы: продажи, маркетинг, учёт финансов, кодинг и личная продуктивность. Что такое n8n - Open-source инструмент для автоматизации без кода - Визуальный конструктор: соединяете блоки и получаете процесс - Есть сотни интеграций: почта, CRM, таблицы, мессенджеры, вебхуки - Можно добавлять свою логику на JavaScript - Запуск по расписанию или по событию, работает в облаке или на своём сервере Как воспользоваться: 1) Скачайте нужный workflow (.json) и импортируйте в n8n 2) Вставьте свои API-ключи и учётные данные в блоки 3) Проверьте шаги и включите запуск по cron или webhook ▪Github Update - еще 300 готовых решений: https://github.com/kossakovsky/n8n-installer @ai_machinelearning_big_data #n8n#ai#ml

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拔毛工 🥸

@bamaogong · Post #788 · 16.07.2025, 03:33

#AI#域名#工具#免费 SmartDomain 基于 AI 的域名搜索和推荐工具,输入域名、关键词或想法,AI 会进行分析并给出推荐的结果,且经过验证确保可注册,支持 18+ 主流域名后缀,集成多家域名商价格,方便选择最低价格,完全免费,无需注册。 🧲 网站网址:http://smartdomain.io/zh

Data Science Jobs

@datasciencejobs · Post #2896 · 30.08.2025, 06:04

#Job#Vacancy#AI#PerformanceEngineering#LLM#Remote Location: Remote (outside of Russia) Work format: Remote, Full-time Company name: CloudSquad Contacts: @natalia_kurland Job Title: Staff/Principal Performance Engineer About the Role: We are seeking a highly skilled and motivated Principal Performance Engineer to lead the performance optimization of our cutting-edge Generative AI technology stack. This role is critical n ensuring the scalability, efficiency, and reliability of our Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems. You will be a key driver in identifying and resolving performance bottlenecks, optimizing resource utilization, and ensuring a seamless user experience. You will work closely with our AI research, software engineering, and infrastructure teams to deliver world-class AI solutions. Responsibilities: 📌Performance Leadership: - Define and implement performance engineering strategies for our Generative AI full stack, including services, application, LLMs, RAG pipelines, and related infrastructure. - Lead performance testing, profiling, and analysis efforts to identify and resolve performance bottlenecks. - Establish and maintain performance benchmarks and SLAs for critical AI services. - Provide technical leadership and mentorship to performance engineering team members. 📌LLM Capacity and Tuning: - Analyze and improve LLM inference performance, including latency, throughput, and resource utilization. - Develop and implement strategies for LLM capacity planning and scaling. - Collaborate with AI researchers to evaluate and improve LLM model architectures and training techniques for performance. - Optimize LLM inference through techniques such as quantization, distillation, and optimized kernel implementation. 📌RAG Performance Optimization: - Design and implement performance tests for RAG pipelines, including retrieval, ranking, and generation components. - Identify and optimize performance bottlenecks in RAG systems, such as database queries, vector search, and document processing. - Evaluate and optimize RAG system architectures for scalability and efficiency. - Tune vector databases for optimal recall and latency. 📌Infrastructure Optimization: - Collaborate with infrastructure teams to optimize hardware and software configurations for AI workloads.● - Evaluate and recommend new technologies and tools for performance monitoring and analysis. - Develop and maintain performance dashboards and reports to track key metrics. - Optimize GPU utilization and memory management for LLM inference. 📌Collaboration and Communication: - Work closely with AI researchers, software engineers, and product managers to ensure performance requirements are met. - Communicate performance findings and recommendations to stakeholders at all levels. - Stay up-to-date with the latest developments in Generative AI and performance engineering. Qualifications: 📌Education: - Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred). 📌Experience: - 10+ years of experience in performance engineering, with a focus on large-scale distributed systems. - 2+ years of experience working with AI/ML technologies - Proven experience in performance testing, profiling, and analysis of complex software systems. - Deep understanding of NLP architectures, training, and inference. - Experience with vector databases and search technologies. - Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). - Strong programming skills in python. - Experience with performance analysis tools (e.g., profilers, debuggers, monitoring tools). 📌Skills: - Strong analytical and problem-solving skills. - Excellent communication and collaboration skills. - Ability to work in a fast-paced and dynamic environment. - Passion for AI and a desire to push the boundaries of performance engineering

OKHK 👀

@iokhk · Post #9083 · 23.03.2026, 07:41

LLM 生成文本陈词滥调汇总,将文件内容作为 System Prompt 或其他方式加载进 LLM 上下文窗口中,从而让 AI 识别并规避此类文本写作模式,使得生成的内容更接近于真人文本。 https://tropes.fyi/tropes-md https://gist.github.com/ossa-ma/f3baa9d25154c33095e22272c631f5a1 #Prompt#AI#Doc

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