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Tag: multi-model

  • Tomasz Tunguz: EvoBlog: Building an Evolutionary AI Content Generation System

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/evoblog-evolutionary-ai-content-generation/ Source: Tomasz Tunguz Title: EvoBlog: Building an Evolutionary AI Content Generation System Feedly Summary: One of the hardest method models to break is how disposable AI generated content is. When asking me to generate one blog post, why not just ask it to generate three, pick the best, use that as a…

  • The Register: Return of Redis creator bears fruit with vector set data type

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/04/10/return_of_redis_creator/ Source: The Register Title: Return of Redis creator bears fruit with vector set data type Feedly Summary: LLM query caching also lands soon The return of Redis creator Salvatore Sanfilippo has borne fruit in the form of a new data type – vector sets – for the widely used cache-turned-multi-model database.… AI…

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

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    Kurt Seifried
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    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…

  • Cloud Blog: Build gen AI agents using Google Cloud databases

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/learn-how-to-connect-agents-to-google-cloud-databases/ Source: Cloud Blog Title: Build gen AI agents using Google Cloud databases Feedly Summary: As enterprises build generative AI agents to strengthen their security posture or improve their customer experience, they need access to real-time data. Because most business critical and real-time data is stored and processed in databases, you need ways…

  • Cloud Blog: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Cloud Blog: Forrester study reveals significant benefits and cost savings with Spanner

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/forrester-tei-study-on-spanner-shows-benefits-and-cost-savings/ Source: Cloud Blog Title: Forrester study reveals significant benefits and cost savings with Spanner Feedly Summary: Is your legacy database sticking you with rising costs, frustrating downtime, and scalability challenges? For organizations that strive for top performance and agility, legacy database systems can become significant roadblocks to innovation.  But there’s good news.…

  • Cloud Blog: Announcing AI Protection: Security for the AI era

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/identity-security/introducing-ai-protection-security-for-the-ai-era/ Source: Cloud Blog Title: Announcing AI Protection: Security for the AI era Feedly Summary: As AI use increases, security remains a top concern, and we often hear that organizations are worried about risks that can come with rapid adoption. Google Cloud is committed to helping our customers confidently build and deploy AI…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • The Register: Analysts welcome ACID transactions on real-time distributed Aerospike

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/13/aerospike_acid_transactions/ Source: The Register Title: Analysts welcome ACID transactions on real-time distributed Aerospike Feedly Summary: The little database company with big users gaining fans as it adds consistency to speed and scale With its 8.0 release, distributed multi-model database Aerospike has added ACID transactions to support large-scale online transaction processing (OLTP) applications in…