Experimental News Clipping Site

Tag: Preview

  • Slashdot: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning

    —

    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/05/20/1915256/googles-gemini-25-models-gain-deep-think-reasoning?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google’s Gemini 2.5 Models Gain "Deep Think" Reasoning Feedly Summary: AI Summary and Description: Yes Summary: Google has rolled out significant enhancements to its Gemini 2.5 AI models, particularly a new “Deep Think” reasoning mode that improves the models’ performance on complex tasks by allowing for hypothesis evaluation. These…

  • Cloud Blog: Expanding Vertex AI with the next wave of generative AI media models

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-veo-3-imagen-4-and-lyria-2-on-vertex-ai/ Source: Cloud Blog Title: Expanding Vertex AI with the next wave of generative AI media models Feedly Summary: Today, we are introducing the next wave of generative AI media models on Vertex AI: Imagen 4, Veo 3, and Lyria 2.  We’ve already seen customers generate stunning, photorealistic images with Imagen 3, Google’s…

  • Cloud Blog: Google AI Edge Portal: On-device machine learning testing at scale

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-edge-portal-brings-on-device-ml-testing-at-scale/ Source: Cloud Blog Title: Google AI Edge Portal: On-device machine learning testing at scale Feedly Summary: Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But…

  • Cloud Blog: Getting AI to write good SQL: Text-to-SQL techniques explained

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/techniques-for-improving-text-to-sql/ Source: Cloud Blog Title: Getting AI to write good SQL: Text-to-SQL techniques explained Feedly Summary: Organizations depend on fast and accurate data-driven insights to make decisions, and SQL is at the core of how they access that data. With Gemini, Google can generate SQL directly from natural language — a.k.a. text-to-SQL. This…

  • Cloud Blog: Simplify database fleet management with AI-powered Database Center, now GA

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/database-center-is-now-generally-available/ Source: Cloud Blog Title: Simplify database fleet management with AI-powered Database Center, now GA Feedly Summary: At Google Cloud Next 25, we announced the general availability of Database Center, an AI-powered unified fleet management solution that simplifies all aspects of database fleet management including monitoring, optimization, and security.  Database Center replaces fragmented…

  • Cloud Blog: Unlock software delivery excellence and quality with Gemini Code Assist agents

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/read-doras-latest-research-on-software-excellence/ Source: Cloud Blog Title: Unlock software delivery excellence and quality with Gemini Code Assist agents Feedly Summary: According to DORA’s latest research – the Impact of Generative AI in Software Development report – AI tools are making software developers feel more productive, focused, and satisfied. They’re even writing better code and documentation…

  • Cloud Blog: Democratizing database observability with AI-assisted troubleshooting

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/inside-ai-assisted-troubleshooting-for-databases/ Source: Cloud Blog Title: Democratizing database observability with AI-assisted troubleshooting Feedly Summary: As organizations adopt DevOps practices, application developers are increasingly expected to not only build applications but also manage and operate the databases they use. This added responsibility can prolong the application development process and time to market, primarily because developers…

  • Cloud Blog: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-contribution-analysis-models-now-ga/ Source: Cloud Blog Title: Understand why your metrics moved with contribution analysis in BigQuery ML, now GA Feedly Summary: The key to effective data-driven decision making is quickly processing and extracting insights from large amounts of data. However, doing this efficiently and at scale is a challenge.  Imagine a retail scenario where…