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Source channel @githubtrending · Post #15382 · Jan 1

#jupyter_notebook#agent#agentic_ai#agents#authentication#bedrock#core#gateway#identity_management#memory_management#production_code#runtime Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs. https://github.com/awslabs/amazon-bedrock-agentcore-samples

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@phygitalcreative · Post #2746 · 04/14/2023, 01:52 PM

SEEM: Segment Everything Everywhere All at Once SEEM позволяет пользователям легко сегментировать изображение, используя промпты различных типов: точки, грубые маски, рамки, языковые подсказки (текст и аудио) и т.д. Говорят, что работает и с видео без дообучения. Гитхаб (кода пока нет) Демо #image2mask, #video2mask, #segmentation#text2mask#audio2mask