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Tag: transformer

  • Slashdot: DeepMind is Holding Back Release of AI Research To Give Google an Edge

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    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/04/01/1648250/deepmind-is-holding-back-release-of-ai-research-to-give-google-an-edge?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepMind is Holding Back Release of AI Research To Give Google an Edge Feedly Summary: AI Summary and Description: Yes Summary: Google DeepMind has altered its publication policy to maintain a competitive advantage in AI research, introducing stringent vetting processes that hinder the release of studies. This shift, aimed…

  • Simon Willison’s Weblog: Nomic Embed Code: A State-of-the-Art Code Retriever

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/27/nomic-embed-code/ Source: Simon Willison’s Weblog Title: Nomic Embed Code: A State-of-the-Art Code Retriever Feedly Summary: Nomic Embed Code: A State-of-the-Art Code Retriever Nomic have released a new embedding model that specializes in code, based on their CoRNStack “large-scale high-quality training dataset specifically curated for code retrieval". The nomic-embed-code model is pretty large –…

  • Hacker News: StarVector: Generating Scalable Vector Graphics Code from Images and Text

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    Kurt Seifried
    in

    Source URL: https://starvector.github.io/ Source: Hacker News Title: StarVector: Generating Scalable Vector Graphics Code from Images and Text Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details the functionalities and performance of the StarVector models, specifically in generating SVG code from images. It outlines the model’s superiority in translating complex visual elements into…

  • Hacker News: What went wrong with the Alan Turing Institute?

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    Kurt Seifried
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    Source URL: https://www.chalmermagne.com/p/how-not-to-build-an-ai-institute Source: Hacker News Title: What went wrong with the Alan Turing Institute? Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the struggles and criticisms facing the Alan Turing Institute (ATI) in the UK, particularly its failure to adapt to advances in AI, such as generative AI and large…

  • Hacker News: StarVector: Generating Scalable Vector Graphics Code from Images and Text

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    by

    Kurt Seifried
    in

    Source URL: https://starvector.github.io/ Source: Hacker News Title: StarVector: Generating Scalable Vector Graphics Code from Images and Text Feedly Summary: Comments AI Summary and Description: Yes Summary: The text details the functionalities and performance of the StarVector models, specifically in generating SVG code from images. It outlines the model’s superiority in translating complex visual elements into…

  • The Register: Schneider Electric pumps $700M into US ops as AI datacenter demand surges

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/26/schneider_electric_ai_investment/ Source: The Register Title: Schneider Electric pumps $700M into US ops as AI datacenter demand surges Feedly Summary: Meanwhile, Apple is lining up ‘$1B’ of Nvidia Blackwell Ultra kit Schneider Electric plans to spend $700 million through 2027 to expand its US operations and bolster the supply of its power equipment necessary…

  • Hacker News: Show HN: Formal Verification for Machine Learning Models Using Lean 4

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    Kurt Seifried
    in

    Source URL: https://github.com/fraware/leanverifier Source: Hacker News Title: Show HN: Formal Verification for Machine Learning Models Using Lean 4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The project focuses on the formal verification of machine learning models using the Lean 4 framework, targeting aspects like robustness, fairness, and interpretability. This framework is particularly relevant…

  • Hacker News: Hunyuan T1 Mamba Reasoning model beats R1 on speed and metrics

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    by

    Kurt Seifried
    in

    Source URL: https://tencent.github.io/llm.hunyuan.T1/README_EN.html Source: Hacker News Title: Hunyuan T1 Mamba Reasoning model beats R1 on speed and metrics Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes Tencent’s innovative Hunyuan-T1 reasoning model, a significant advancement in large language models that utilizes reinforcement learning and a novel architecture to improve reasoning capabilities and…

  • Cloud Blog: Build GraphRAG applications using Spanner Graph and LangChain

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/using-spanner-graph-with-langchain-for-graphrag/ Source: Cloud Blog Title: Build GraphRAG applications using Spanner Graph and LangChain Feedly Summary: Spanner Graph redefines graph data management by integrating graph, relational, search, and AI capabilities with virtually unlimited scalability. GraphRAG has emerged as a frontrunner in building question-answering systems that enable organizations to extract relevant insights from their interconnected…