什么是Modal？
Modal helps people run code in the cloud. We think it's the easiest way for developers to get access to containerized, serverless compute without the hassle of managing their own infrastructure.
如何使用 Modal？
要使用 Modal，开发人员可以运行生成式人工智能模型、大规模批处理作业、作业队列等。他们可以带自己的代码，Modal 负责运行基础设施。安装过程包括运行 'pip install modal'，然后运行 'python3 -m modal setup'。
Modal 的核心功能
完全在代码中表达容器映像和硬件规格，无需 Dockerfiles 或者 YAML。
通过强大的云原语轻松设置网络卷、键值存储和队列，与普通的 Python 类似。
只需一行代码即可将函数转换为 cron 作业。
将任何函数作为 HTTPS 端点提供服务并发送到自定义域。
实时监视执行情况、日志和指标，并通过 modal shell 进行交互式调试。
使用 gVisor 运行时和符合行业标准的 SOC 2 合规性保护工作负载。
Modal 的使用案例
运行数据密集型应用程序
运行大规模工作负载
运行生成式人工智能模型
运行批处理作业
运行作业队列
调度 cron 作业
将函数作为 HTTPS 端点提供服务
来自 Modal 的常见问题
Modal 是什么？
Modal 是如何工作的？
Modal 的定价选项是什么？
Modal 的一些用例是什么？
Modal 公司信息
更多关于Modal, 请访问 the about us page(https://modal.com/company).
Modal 登录
Modal 登录链接: https://modal.com/login?next=%2Fhome
Modal 注册
Modal 注册链接: https://modal.com/signup
Modal 价格
Modal 价格链接: https://modal.com/pricing
Modal Linkedin
Modal Linkedin链接: https://www.linkedin.com/company/modal-labs/
Modal Twitter
Modal Twitter链接: https://twitter.com/modal_labs
Modal Github
Modal Github链接: https://github.com/modal-labs
Modal 评价 (0)
Modal数据分析
Modal 网站流量分析
地理位置
Top 5 国家/地区
Modal 启动嵌入功能
使用网站徽章推动社区对 Toolify 启动的支持。它们很容易嵌入到您的主页或页脚。
社交媒体聆听
AI Software Engineer Plants Secret Messages in Images
Devin learns how to run ControlNet on modal by reading a blog post, and helps Sara generate a few images. Learn more about Devin and Cognition at https://www.cognition-labs.com/blog and follow us on Twitter at https://twitter.com/cognition_labs --- Hidden in Plain Sight (Blog Post): https://www.factsmachine.ai/p/hidden-in-plain-sight Modal (Serverless Platform): https://modal.com
New 🧑💻 Smol AI Developer - Build ENTIRE Codebases With A Single Prompt (ChatGPT)
In this video, we take a look at Smol AI Developer, which is a popular GitHub repo promising to be an automated Jr. Developer. It's the most complete AI coding solution I've seen to date, using ChatGPT to write entires coding projects for you, not just one file or single methods. We'll review it and then I'll show you how to install it. Enjoy :) Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai/ My Links 🔗 👉🏻 Subscribe: https://www.youtube.com/@matthew_berman 👉🏻 Twitter: https://twitter.com/matthewberman 👉🏻 Discord: https://discord.gg/xxysSXBxFW 👉🏻 Patreon: https://patreon.com/MatthewBerman Media/Sponsorship Inquiries 📈 https://bit.ly/44TC45V Links: GitHub - https://github.com/smol-ai/developer/ Modal - https://modal.com
Deploying code agents without all the agonizing pain
Agents that write and run code are powerful, as Cognition Labs showed with their recent release of Devin, the "AI SWE". But they are complex to program, hard to deploy, and even harder to secure -- what happens if your agent runs DROP prodtables or sudo rm -rf /? In this joint webinar between LangChain and Modal Labs, we cover the productionization of a coding agent. Lance Martin (@rlancemartin) walk through his coding agent implementation, which performs import and code execution checks along self-reflection in LangGraph. Modal AI Engineer Charles Frye (@charles_irl) will then show how to secure that prototype agent using Modal Sandboxes and deploy it as a FastAPI web app with only a dozen more lines of code. Slides: https://docs.google.com/presentation/d/1368-i3k73eM-h1vsd0LwchxQOC8JUQt7RRy9b44EBho/edit?usp=sharing Code: https://github.com/modal-labs/modal-examples/tree/main/06_gpu_and_ml/langchains/codelangchain First video discussing the design of the self-corrective coding agent in detail: https://www.youtube.com/watch?v=MvNdgmM7uyc Try Modal! Includes $30/month of free compute: https://modal.com Timestamps - 00:00 Summary 00:48 From paper to notebook 04:09 Evaluating the agent 08:20 From notebook to production - LangServe and Modal.asgi_app 13:20 Notebooks and apps 16:45 Iterating in production - OpenAPI docs 18:07 Securing code agents with Modal Sandboxes 23:47 Development servers with modal serve 28:42 Serving a UI with LangServe Playground 37:33 Deeper dive on using Modal Sandboxes 42:20 Observability and monitoring with LangSmith 45:08 Recap (edited)
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