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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

⚡️The Daily TON: New Revenue Streams for Memecoin Creators #TON#Uranus The Daily TON reports on how the TON ecosystem is evolving to support memecoin founders with sustainable economic tools. Innovations like CPMM v2 pools on DeDust and trading commissions from Uranus memepad offer financial stability without pressuring prices or community trust. Source: link @tonlines

⚡️The Daily TON: Highlights This Week #TON#Uranus The Daily TON discusses recent developments including the launch of Uranus memepad and new DeDust.io liquidity pools. The channel also addresses accusations of wash trading in Meme Republic and offers insights from an interview with Tonkeeper Pro creator, Oleg Andreev. Additionally, a comparison between TON and ICP blockchain projects is explored. Source: link @tonlines

Toncoin: Launch Meme Tokens with Uranus #Uranus#TON Toncoin introduces Uranus, a tool for creating meme tokens with ease. It automates the launch process, ensures liquidity locks, and rewards creators with trading fees in TON. Source: link @tonlines

⚡️TON Contests: Tact Smart Contract Challenge with $20,000 Prize #TON#Tact TON Contests announced the Tact Smart Contract Challenge, organized by TON Studio and Codeforces, offering a $20,000 Toncoin prize pool. Participants will tackle various voting system tasks with rewards including Soulbound Tokens and job interview opportunities at TON Studio. Source: link @tonlines

项目名称：awesome-openclaw-usecases 项目地址：https://github.com/hesamsheikh/awesome-openclaw-usecases 项目介绍：一个OpenClaw用例的社区集合，让生活更轻松。 #开源项目#工具#社区#ai

⚡️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

#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

💰 At today's rate of inflow of funds into spot #Bitcoin#ETFs, we will see a liquidity crisis (#BTC on sale will end) on the sellers' side within 6 months Meanwhile, #BlackRock's balance reached $203756BTC 😎

#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

Из крипты в портфеле: #MATIC #BNB #FIL #ARB #1INCH #COM #UNIDX #COSMOS #TON #OKT Из акций в портфеле: #LNZL#YNDX#SGZH#ALRS#VK#GAZP#MTC#OGKB Из фьючерсов в портфеле: #NG

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