Experimental News Clipping Site

Tag: ML

  • Cloud Blog: Empowering retailers with AI for commerce, marketing, supply chains, and more

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/retail/retail-cpg-ai-partner-ecosystem-nrf-2025/ Source: Cloud Blog Title: Empowering retailers with AI for commerce, marketing, supply chains, and more Feedly Summary: Google Cloud’s mission is to accelerate every organization’s ability to digitally transform its business and industry — and a key part of doing that is with our ISV and service partners, who possess critical industry…

  • Hacker News: How outdated information hides in LLM token generation probabilities

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    Kurt Seifried
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    Source URL: https://blog.anj.ai/2025/01/llm-token-generation-probabilities.html Source: Hacker News Title: How outdated information hides in LLM token generation probabilities Feedly Summary: Comments AI Summary and Description: Yes ### Summary: The text provides a deep examination of how large language models (LLMs), such as ChatGPT, process and generate responses based on conflicting and outdated information sourced from the internet.…

  • Slashdot: Futurist Predicts AI-Powered ‘Digital Superpowers’ by 2030

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/12/0432243/futurist-predicts-ai-powered-digital-superpowers-by-2030 Source: Slashdot Title: Futurist Predicts AI-Powered ‘Digital Superpowers’ by 2030 Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the future of context-aware AI technologies, particularly through body-worn devices, which are projected to enhance human capabilities by 2030. This development brings significant implications for security and privacy, especially as AI…

  • Hacker News: Contemplative LLMs

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    Kurt Seifried
    in

    Source URL: https://maharshi.bearblog.dev/contemplative-llms-prompt/ Source: Hacker News Title: Contemplative LLMs Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the novel approach of prompting Large Language Models (LLMs) to engage in a contemplation phase before generating answers. By mimicking a reasoning process, which encourages exploration and questioning assumptions, this method…

  • Simon Willison’s Weblog: Agents

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/11/agents/ Source: Simon Willison’s Weblog Title: Agents Feedly Summary: Agents Chip Huyen’s 8,000 word practical guide to building useful LLM-driven workflows that take advantage of tools. Chip starts by providing a definition of “agents" to be used in the piece – in this case it’s LLM systems that plan an approach and then…

  • CSA: Next-Gen AI Cybersecurity: Reshape Digital Defense

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/01/10/next-gen-cybersecurity-with-ai-reshaping-digital-defense Source: CSA Title: Next-Gen AI Cybersecurity: Reshape Digital Defense Feedly Summary: AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the transformative role of Artificial Intelligence (AI) in enhancing cybersecurity measures against evolving threats. It emphasizes predictive analytics, automated responses, and adaptive security systems as vital advancements for creating…

  • Hacker News: Nvidia-Ingest: Multi-modal data extraction

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    Kurt Seifried
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    Source URL: https://github.com/NVIDIA/nv-ingest Source: Hacker News Title: Nvidia-Ingest: Multi-modal data extraction Feedly Summary: Comments AI Summary and Description: Yes Summary: The NVIDIA-Ingest microservice represents a significant advancement in multi-modal document data extraction, crucial for leveraging generative AI and machine learning applications. By effectively contextualizing and extracting diverse content types from documents, it offers enhanced performance…

  • Simon Willison’s Weblog: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/10/ai-predictions/#atom-everything Source: Simon Willison’s Weblog Title: My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends Feedly Summary: The Oxide and Friends podcast has an annual tradition of asking guests to share their predictions for the next 1, 3 and 6 years. Here’s 2022, 2023 and 2024. This…

  • Cloud Blog: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-vertex-ai-rag-engine/ Source: Cloud Blog Title: Introducing Vertex AI RAG Engine: Scale your Vertex AI RAG pipeline with confidence Feedly Summary: Closing the gap between impressive model demos and real-world performance is crucial for successfully deploying generative AI for enterprise. Despite the incredible capabilities of generative AI for enterprise, this perceived gap may be…