Experimental News Clipping Site

Tag: accuracy

  • Cloud Blog: How Looker’s semantic layer enables trusted AI for business intelligence

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/business-intelligence/how-lookers-semantic-layer-enhances-gen-ai-trustworthiness/ Source: Cloud Blog Title: How Looker’s semantic layer enables trusted AI for business intelligence Feedly Summary: In the AI era, where data fuels intelligent applications and drives business decisions, demand for accurate and consistent data insights has never been higher. However, the complexity and sheer volume of data coupled with the diversity…

  • Simon Willison’s Weblog: Saying "hi" to Microsoft’s Phi-4-reasoning

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/6/phi-4-reasoning/#atom-everything Source: Simon Willison’s Weblog Title: Saying "hi" to Microsoft’s Phi-4-reasoning Feedly Summary: Microsoft released a new sub-family of models a few days ago: Phi-4 reasoning. They introduced them in this blog post celebrating a year since the release of Phi-3: Today, we are excited to introduce Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning – marking…

  • Slashdot: UnitedHealth Now Has 1,000 AI Applications In Production

    —

    by

    Kurt Seifried
    in

    Source URL: https://science.slashdot.org/story/25/05/05/2050232/unitedhealth-now-has-1000-ai-applications-in-production?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: UnitedHealth Now Has 1,000 AI Applications In Production Feedly Summary: AI Summary and Description: Yes Summary: UnitedHealth Group is leveraging 1,000 AI applications across various segments, including insurance and healthcare. A significant portion of these initiatives involves generative AI, highlighting both its potential and the inherent challenges, particularly in…

  • Simon Willison’s Weblog: Quoting Arvind Narayanan

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/5/arvind-narayanan/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Arvind Narayanan Feedly Summary: [On using generative AI for work despite the risk of errors:] AI is helpful despite being error-prone if it is faster to verify the output than it is to do the work yourself. For example, if you’re using it to find a…

  • Cloud Blog: Announcing new Vertex AI Prediction Dedicated Endpoints

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/reliable-ai-with-vertex-ai-prediction-dedicated-endpoints/ Source: Cloud Blog Title: Announcing new Vertex AI Prediction Dedicated Endpoints Feedly Summary: For AI developers building cutting-edge applications with large model sizes, a reliable foundation is non-negotiable. You need your AI to perform consistently, delivering results without hiccups, even under pressure. This means having dedicated resources that won’t get bogged down…

  • AWS News Blog: Amazon Q Developer elevates the IDE experience with new agentic coding experience

    —

    by

    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/amazon-q-developer-elevates-the-ide-experience-with-new-agentic-coding-experience/ Source: AWS News Blog Title: Amazon Q Developer elevates the IDE experience with new agentic coding experience Feedly Summary: This new interactive, agentic coding experience for Visual Studio Code allows Q Developer to intelligently take actions on behalf of the developer. AI Summary and Description: Yes Summary: The introduction of Amazon Q…

  • Cloud Blog: Palo Alto Networks’ journey to productionizing gen AI

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/partners/how-palo-alto-networks-builds-gen-ai-solutions/ Source: Cloud Blog Title: Palo Alto Networks’ journey to productionizing gen AI Feedly Summary: At Google Cloud, we empower businesses to accelerate their generative AI innovation cycle by providing a path from prototype to production. Palo Alto Networks, a global cybersecurity leader, partnered with Google Cloud to develop an innovative security posture…

  • AWS News Blog: Amazon Nova Premier: Our most capable model for complex tasks and teacher for model distillation

    —

    by

    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/amazon-nova-premier-our-most-capable-model-for-complex-tasks-and-teacher-for-model-distillation/ Source: AWS News Blog Title: Amazon Nova Premier: Our most capable model for complex tasks and teacher for model distillation Feedly Summary: Nova Premier is designed to excel at complex tasks requiring deep context understanding, multistep planning, and coordination across tools and data sources. It has capabilities for processing text, images, and…

  • Wired: These Startups Are Building Advanced AI Models Without Data Centers

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/these-startups-are-building-advanced-ai-models-over-the-internet-with-untapped-data/ Source: Wired Title: These Startups Are Building Advanced AI Models Without Data Centers Feedly Summary: A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. AI Summary and Description: Yes Summary: The text discusses an innovative crowd-trained…