Experimental News Clipping Site

Tag: data retrieval

  • Wired: OpenAI’s ChatGPT Agent Is Haunting My Browser

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    Kurt Seifried
    in

    Source URL: https://www.wired.com/story/browser-haunted-by-ai-agents/ Source: Wired Title: OpenAI’s ChatGPT Agent Is Haunting My Browser Feedly Summary: New tools from OpenAI and Perplexity can browse the web for you. If the idea takes off, these generative AI agents could turn the internet into a ghost town where only bots roam. AI Summary and Description: Yes Summary: The…

  • The Cloudflare Blog: Quicksilver v2: evolution of a globally distributed key-value store (Part 2)

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    Kurt Seifried
    in

    Source URL: https://blog.cloudflare.com/quicksilver-v2-evolution-of-a-globally-distributed-key-value-store-part-2-of-2/ Source: The Cloudflare Blog Title: Quicksilver v2: evolution of a globally distributed key-value store (Part 2) Feedly Summary: This is part two of a story about how we overcame the challenges of making a complex system more scalable. AI Summary and Description: Yes Summary: The text describes the evolution of Cloudflare’s Quicksilver,…

  • Cloud Blog: How to enable real time semantic search and RAG applications with Dataflow ML

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/developers-practitioners/create-and-retrieve-embeddings-with-a-few-lines-of-dataflow-ml-code/ Source: Cloud Blog Title: How to enable real time semantic search and RAG applications with Dataflow ML Feedly Summary: Embeddings are a cornerstone of modern semantic search and Retrieval Augmented Generation (RAG) applications. In short, they enable applications to understand and interact with information on a deeper, conceptual level. In this post,…

  • Tomasz Tunguz: The Surprising Input-to-Output Ratio of AI Models

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    Kurt Seifried
    in

    Source URL: https://www.tomtunguz.com/input-output-ratio/ Source: Tomasz Tunguz Title: The Surprising Input-to-Output Ratio of AI Models Feedly Summary: When you query an AI model, it gathers relevant information to generate an answer. For a while, I’ve wondered : how much information does the model need to answer a question? I thought the output would be larger, however…

  • Cloud Blog: Chat with confidence: Unpacking security in Looker Conversational Analytics

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/business-intelligence/understanding-looker-conversational-analytics-security/ Source: Cloud Blog Title: Chat with confidence: Unpacking security in Looker Conversational Analytics Feedly Summary: The landscape of business intelligence is evolving rapidly, with users expecting greater self-service and natural language capabilities, powered by AI. Looker’s Conversational Analytics empowers everyone in your organization to access the wealth of information within your data.…

  • Cloud Blog: How Schroders built its multi-agent financial analysis research assistant

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/customers/how-schroders-built-its-multi-agent-financial-analysis-research-assistant/ Source: Cloud Blog Title: How Schroders built its multi-agent financial analysis research assistant Feedly Summary: Financial analysts spend hours grappling with ever-increasing volumes of market and company data to extract key signals, combine diverse data sources, and produce company research. Schroders is a leading global active investment manager. Being an active manager…

  • AWS Open Source Blog: Using Strands Agents with Claude 4 Interleaved Thinking

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    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/opensource/using-strands-agents-with-claude-4-interleaved-thinking/ Source: AWS Open Source Blog Title: Using Strands Agents with Claude 4 Interleaved Thinking Feedly Summary: When we introduced the Strands Agents SDK, our goal was to make agentic development simple and flexible by embracing a model-driven approach. Today, we’re excited to highlight how you can use Claude 4’s interleaved thinking beta…

  • Cloud Blog: A deep dive into AlloyDB’s vector search enhancements

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/databases/alloydb-ais-scann-index-improves-search-on-all-kinds-of-data/ Source: Cloud Blog Title: A deep dive into AlloyDB’s vector search enhancements Feedly Summary: If you’re building a generative AI application or an AI agent, there’s a high likelihood you’ll need to perform simultaneous searches on structured and unstructured data. For example, the prompt “Show me all pictures of sunsets I took…