Experimental News Clipping Site

Tag: model training

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

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    Kurt Seifried
    in

    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…

  • Slashdot: DuckDuckGo Is Amping Up Its AI Search Tool

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/03/07/0432251/duckduckgo-is-amping-up-its-ai-search-tool?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DuckDuckGo Is Amping Up Its AI Search Tool Feedly Summary: AI Summary and Description: Yes Summary: DuckDuckGo has advanced its AI capabilities by integrating AI-generated answers in its privacy-centric search engine, allowing for varied responses while maintaining user privacy. The company aims to enhance user experience with an AI…

  • Hacker News: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue"

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    Kurt Seifried
    in

    Source URL: https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue Source: Hacker News Title: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue" Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The provided text explores the application of reinforcement learning to enhance the deductive reasoning capabilities of smaller, open-weight models in AI. Specifically, it focuses on…

  • Hacker News: Arva AI (YC S24) Is Hiring an AI Product Engineer

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    Kurt Seifried
    in

    Source URL: https://www.ycombinator.com/companies/arva-ai/jobs/OBPwCiU-ai-product-engineer Source: Hacker News Title: Arva AI (YC S24) Is Hiring an AI Product Engineer Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an overview of a full-time AI Product Engineer position at Arva AI, which focuses on enhancing financial crime intelligence through automation and AI technologies. It highlights…

  • Hacker News: ARC-AGI without pretraining

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    Kurt Seifried
    in

    Source URL: https://iliao2345.github.io/blog_posts/arc_agi_without_pretraining/arc_agi_without_pretraining.html Source: Hacker News Title: ARC-AGI without pretraining Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents “CompressARC,” a novel method demonstrating that lossless information compression can generate intelligent behavior in artificial intelligence (AI) systems, notably in solving ARC-AGI puzzles without extensive pretraining or large datasets. This approach challenges conventional…

  • Cloud Blog: How to calculate your AI costs on Google Cloud

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Hacker News: Doing data labelling in-house

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    Kurt Seifried
    in

    Source URL: https://www.ericbutton.co/p/data-labelling Source: Hacker News Title: Doing data labelling in-house Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of Yeager, a state-of-the-art AI model for air traffic control audio, and the significant effort put into in-house data labeling. It emphasizes the unique challenges of working with highly specialized…

  • Simon Willison’s Weblog: Quoting Ethan Mollick

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Mar/2/ethan-mollick/ Source: Simon Willison’s Weblog Title: Quoting Ethan Mollick Feedly Summary: After publishing this piece, I was contacted by Anthropic who told me that Sonnet 3.7 would not be considered a 10^26 FLOP model and cost a few tens of millions of dollars to train, though future models will be much bigger. —…

  • Enterprise AI Trends: Finetuning LLMs for Enterprises: Interview with Travis Addair, CTO of Predibase

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    Kurt Seifried
    in

    Source URL: https://nextword.substack.com/p/finetuning-llms-for-enterprises-interview Source: Enterprise AI Trends Title: Finetuning LLMs for Enterprises: Interview with Travis Addair, CTO of Predibase Feedly Summary: Plus, how RFT (reinforcement finetuning) will really change the game for finetuning AI models AI Summary and Description: Yes Summary: The provided text details an in-depth discussion about advancements in fine-tuning large language models…