Tag: structured output

  • AWS Open Source Blog: Open Protocols for Agent Interoperability Part 3: Strands Agents & MCP

    Source URL: https://aws.amazon.com/blogs/opensource/open-protocols-for-agent-interoperability-part-3-strands-agents-mcp/ Source: AWS Open Source Blog Title: Open Protocols for Agent Interoperability Part 3: Strands Agents & MCP Feedly Summary: Developers are architecting and building systems of AI agents that work together to autonomously accomplish users’ tasks. In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how…

  • Cloud Blog: Gemini momentum continues with launch of 2.5 Flash-Lite and general availability of 2.5 Flash and Pro on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gemini-2-5-flash-lite-flash-pro-ga-vertex-ai/ Source: Cloud Blog Title: Gemini momentum continues with launch of 2.5 Flash-Lite and general availability of 2.5 Flash and Pro on Vertex AI Feedly Summary: The momentum of the Gemini 2.5 era continues to build. Following our recent announcements, we’re empowering enterprise builders and developers with even greater access to the intelligence,…

  • Cloud Blog: What’s new with BigQuery AI and ML?

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…

  • Cloud Blog: Introducing Firebase Studio and agentic developer tools to build with Gemini

    Source URL: https://cloud.google.com/blog/products/application-development/firebase-studio-lets-you-build-full-stack-ai-apps-with-gemini/ Source: Cloud Blog Title: Introducing Firebase Studio and agentic developer tools to build with Gemini Feedly Summary: Millions of developers use Firebase to engage their users, powering over 70 billion instances of apps every day, everywhere — from mobile devices and web browsers, to embedded platforms and agentic experiences. But full-stack development…

  • Simon Willison’s Weblog: smartfunc

    Source URL: https://simonwillison.net/2025/Apr/3/smartfunc/ Source: Simon Willison’s Weblog Title: smartfunc Feedly Summary: smartfunc Vincent D. Warmerdam built this ingenious wrapper around my LLM Python library which lets you build LLM wrapper functions using a decorator and a docstring: from smartfunc import backend @backend(“gpt-4o") def generate_summary(text: str): """Generate a summary of the following text: """ pass summary…

  • Hacker News: Show HN: New Agentic AI Framework in CNCF

    Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…

  • Hacker News: Show HN: New Agentic AI Framework in CNCF

    Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…

  • Hacker News: Show HN: New Agentic AI Framework in CNCF

    Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…