AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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LTX-2 reached a milestone: 2,000,000 Hugging Face downloads
From LTX-2 on 𝕏: https://x.com/ltx_model/status/2014698306421850404 submitted by /u/Nunki08 [link] [comments]
Managing and Securing VS Code Extensions at Scale
Editor’s Note: In this blog post, Palantir’s Information Security (InfoSec) team shares their approach to implementing a comprehensive VS Code extension management program, demonstrating practical solutions to a frequently overlooked attack vector. Introduction Integrated development environments (IDEs) serve as the primary interface for authoring code and managing infrastructure, sitting at the…
Build AI agents with Amazon Bedrock AgentCore using AWS CloudFormation
Agentic-AI has become essential for deploying production-ready AI applications, yet many developers struggle with the complexity of manually configuring agent infrastructure across multiple environments. Infrastructure as code (IaC) facilitates consistent, secure, and scalable infrastructure that autonomous AI systems require. It minimizes manual configuration errors through automated resource management and declarative…
Monitoring Google ADK agentic applications with Datadog LLM Observability
Google’s Agent Development Kit (ADK) gives you the building blocks to create powerful agentic systems. These multi-step agents can plan, loop, collaborate, and call tools dynamically to solve problems on their own. However, this flexibility also makes them unpredictable, leading to potential issues like incomplete outputs, unexpected costs, and security…