Tag: integration

  • Slashdot: Gemini Can Now Watch Google Drive Videos For You

    Source URL: https://hardware.slashdot.org/story/25/05/29/211200/gemini-can-now-watch-google-drive-videos-for-you?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Gemini Can Now Watch Google Drive Videos For You Feedly Summary: AI Summary and Description: Yes Summary: Google’s Gemini AI now enhances Google Drive by allowing users to analyze and summarize video files easily, significantly improving productivity by enabling quick information retrieval from content without the need to watch…

  • New York Times – Artificial Intelligence : Energy Department Unveils New Supercomputer That Merges With A.I.

    Source URL: https://www.nytimes.com/2025/05/29/technology/energy-department-supercomputer-ai.html Source: New York Times – Artificial Intelligence Title: Energy Department Unveils New Supercomputer That Merges With A.I. Feedly Summary: The new supercomputer shows the increasing desire of government labs to adopt more technologies from commercial artificial intelligence systems. AI Summary and Description: Yes Summary: The text highlights a trend where government laboratories…

  • AWS News Blog: Enhance AI-assisted development with Amazon ECS, Amazon EKS and AWS Serverless MCP server

    Source URL: https://aws.amazon.com/blogs/aws/enhance-ai-assisted-development-with-amazon-ecs-amazon-eks-and-aws-serverless-mcp-server/ Source: AWS News Blog Title: Enhance AI-assisted development with Amazon ECS, Amazon EKS and AWS Serverless MCP server Feedly Summary: AWS introduces specialized Model Context Protocol (MCP) servers for Amazon ECS, EKS, Finch and AWS Serverless, providing real-time contextual responses and service-specific guidance to guide AI assisted application development. AI Summary and…

  • Cloud Blog: Google I/O 2025: Innovation that drives mission impact

    Source URL: https://cloud.google.com/blog/topics/public-sector/google-io-2025-innovation-that-drives-mission-impact/ Source: Cloud Blog Title: Google I/O 2025: Innovation that drives mission impact Feedly Summary: At Google I/O 2025 we unveiled a suite of groundbreaking AI advancements, signaling a new frontier in how technology will empower organizations everywhere. The new era of innovation is here. Over the two day event, Google showcased everything…

  • Cloud Blog: Create shareable generative AI apps in less than 60 seconds with Vertex AI and Cloud Run

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/create-gen-ai-apps-in-less-than-60-seconds-with-vertex-ai/ Source: Cloud Blog Title: Create shareable generative AI apps in less than 60 seconds with Vertex AI and Cloud Run Feedly Summary: Want to turn your generative AI ideas into real web applications with one click?  Any developer knows it’s a complex process to build shareable, interactive applications: you have to set…

  • Simon Willison’s Weblog: llm-github-models 0.15

    Source URL: https://simonwillison.net/2025/May/29/llm-github-models-015/ Source: Simon Willison’s Weblog Title: llm-github-models 0.15 Feedly Summary: llm-github-models 0.15 Anthony Shaw’s llm-github-models plugin just got an upgrade: it now supports LLM 0.26 tool use for a subset of the models hosted on the GitHub Models API, contributed by Caleb Brose. The neat thing about this GitHub Models plugin is that…

  • Simon Willison’s Weblog: llm-tools-exa

    Source URL: https://simonwillison.net/2025/May/29/llm-tools-exa/ Source: Simon Willison’s Weblog Title: llm-tools-exa Feedly Summary: llm-tools-exa When I shipped LLM 0.26 yesterday one of the things I was most excited about was seeing what new tool plugins people would build for it. Dan Turkel’s llm-tools-exa is one of the first. It adds web search to LLM using Exa (previously),…

  • Simon Willison’s Weblog: llm-mistral 0.14

    Source URL: https://simonwillison.net/2025/May/29/llm-mistral-014/#atom-everything Source: Simon Willison’s Weblog Title: llm-mistral 0.14 Feedly Summary: llm-mistral 0.14 I added tool-support to my plugin for accessing the Mistral API from LLM today, plus support for Mistral’s new Codestral Embed embedding model. An interesting challenge here is that I’m not using an official client library for llm-mistral – I rolled…