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Source channel @TossLabChannel · Post #521 · 1月15日

#青龙更新 青龙 v2.18.1 更新说明 青龙 v2.18.1 发布!本次更新优化功能并修复问题: • 新增功能:内置 QLAPI 增加环境变量和系统通知 API。 • 调整:移除 nedb 和 sentry,不再支持 2.10.x 版本自动迁移。 • 修复:多语言翻译问题改进。 更新方法: • 面板更新:系统设置 -> 其他设置 -> 检查更新 • 容器内更新:执行 ql update • Debian 用户:直接同步更新。 • 宿主机更新:运行命令 docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR <容器名> 版本镜像: • 正式版:whyour/qinglong:latest • Python3.10 正式版:whyour/qinglong:python3.10 • Debian 版:whyour/qinglong:debian • Python3.10 Debian 版:whyour/qinglong:debian-python3.10 • NPM 安装:npm i -g @whyour/qinglong 📢 群聊: @TossLab 🎈 频道: @TossLabChannel ❗️ ❗️ ❗️ ❗️ ❗️ ❗️ ❗️ ❗️ 🔘折腾系列频道 - 全面介绍 🔘境外离岸银行教程合集目录 🔘折腾实验室优质Github项目合集

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MDC Uzbekistan

@mdcuzbekistan · Post #670 · 2023/03/03 18:21

Github actions dan foydalanib CI/CD qilish Do'stlar, avvalgi mavzularimizda Windows server bilan to'g'ridan to'g'ri ishlab, .NET ilovalarimizni deploy qilishni ko'rib chiqdik. O'ylaymizki, siz CI/CD haqida eshitgansiz. Masalan, Heroku servislaridan deployment uchun foydalangansiz, esingizda bo'lsa u yerda CI/CD sozlamalari qilingan edi. Ya'ni github/gitlab/azuredevops ga push qilish orqali, loyihamiz avtomatik tarzda build -> test -> deploy -> run bo'lardi. Ushbu mavzuni kengroq o'rganishimiz uchun Abduvohid ustozni mahorat darsimizga taklif qildik. Barchangizni ushbu mahorat darsida kutib qolamiz. Kirsangiz xursand bo'lamiz, kirmasangiz hafa bo'lish yo'q ) Sana: 5-mart, 20:00 Havola: Zoom Speaker: Wahid Abduhakimov #githubactions#deployment#cicd .NET Uzbekistan Community ➖➖➖➖➖➖➖➖➖➖ Telegram | Instagram | Youtube

Venture Village Wall 🦄

@venturevillagewall · Post #3454 · 2024/12/19 13:55

Replexica Secures $500K Funding Replexica has successfully raised $500K in funding on December 4, 2024. The company specializes in advanced AI localization for applications, enhancing the CI/CD process to enable faster shipping and increased customer acquisition. #Replexica#Funding#AI#Localization#Apps#CICD#Tech

GitHub Trends

@githubtrending · Post #14768 · 2025/05/31 12:00

#typescript#ci#ci_cd#cicd#evaluation#evaluation_framework#llm#llm_eval#llm_evaluation#llm_evaluation_framework#llmops#pentesting#prompt_engineering#prompt_testing#prompts#rag#red_teaming#testing#vulnerability_scanners Promptfoo is a tool that helps developers test and improve AI applications using Large Language Models (LLMs). It allows you to **test prompts and models** automatically, **secure your apps** by finding vulnerabilities, and **compare different models** side-by-side. You can use it on your computer or integrate it into your development workflow. This tool helps you make sure your AI apps work well and are secure before you release them. It saves time and ensures quality by using data instead of guessing. https://github.com/promptfoo/promptfoo