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Tag: large language models

  • Hacker News: Open source AI: Red Hat’s point-of-view

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    Kurt Seifried
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    Source URL: https://www.redhat.com/en/blog/open-source-ai-red-hats-point-view Source: Hacker News Title: Open source AI: Red Hat’s point-of-view Feedly Summary: Comments AI Summary and Description: Yes **Summary:** Red Hat advocates for the principles of open source AI, emphasizing the necessity of open source-licensed model weights in tandem with open source software components. This stance is rooted in the belief that…

  • Hacker News: Understanding Reasoning LLMs

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    Kurt Seifried
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    Source URL: https://magazine.sebastianraschka.com/p/understanding-reasoning-llms Source: Hacker News Title: Understanding Reasoning LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores advancements in reasoning models associated with large language models (LLMs), focusing particularly on the development of DeepSeek’s reasoning model and various approaches to enhance LLM capabilities through structured training methodologies. This examination is…

  • Slashdot: Hugging Face Clones OpenAI’s Deep Research In 24 Hours

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/02/06/216251/hugging-face-clones-openais-deep-research-in-24-hours?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Hugging Face Clones OpenAI’s Deep Research In 24 Hours Feedly Summary: AI Summary and Description: Yes Summary: The release of Hugging Face’s Open Deep Research marks a significant development in open-source AI, as it offers an autonomous web-browsing research agent that aims to replicate OpenAI’s Deep Research capabilities. This…

  • Hacker News: R1 Computer Use

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    Kurt Seifried
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    Source URL: https://github.com/agentsea/r1-computer-use Source: Hacker News Title: R1 Computer Use Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes a project named “R1-Computer-Use,” which leverages reinforcement learning techniques for improved computer interaction. This novel approach replaces traditional verification methods with a neural reward model, enhancing the reasoning capabilities of agents in diverse…

  • Cloud Blog: Announcing public beta of Gen AI Toolbox for Databases

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-gen-ai-toolbox-for-databases-get-started-today/ Source: Cloud Blog Title: Announcing public beta of Gen AI Toolbox for Databases Feedly Summary: Today, we are thrilled to announce the public beta launch of Gen AI Toolbox for Databases in partnership with LangChain, the leading orchestration framework for developers building large language model (LLM) applications. Gen AI Toolbox for Databases…

  • Hacker News: Pre-Trained Large Language Models Use Fourier Features to Compute Addition

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2406.03445 Source: Hacker News Title: Pre-Trained Large Language Models Use Fourier Features to Compute Addition Feedly Summary: Comments AI Summary and Description: Yes Short Summary: The paper discusses how pre-trained large language models (LLMs) utilize Fourier features to enhance their arithmetic capabilities, specifically focusing on addition. It provides insights into the mechanisms that…

  • Simon Willison’s Weblog: Gemini 2.0 is now available to everyone

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/gemini-2/ Source: Simon Willison’s Weblog Title: Gemini 2.0 is now available to everyone Feedly Summary: Gemini 2.0 is now available to everyone Big new Gemini 2.0 releases today: Gemini 2.0 Pro (Experimental) is Google’s “best model yet for coding performance and complex prompts" – currently available as a free preview. Gemini 2.0 Flash…

  • Hacker News: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://timkellogg.me/blog/2025/02/03/s1 Source: Hacker News Title: S1: The $6 R1 Competitor? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel AI model that demonstrates significant performance scalability while being cost-effective, leveraging concepts like inference-time scaling and entropix. It highlights the implications of such advancements for AI research, including geopolitics…

  • Schneier on Security: On Generative AI Security

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    Kurt Seifried
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    Source URL: https://www.schneier.com/blog/archives/2025/02/on-generative-ai-security.html Source: Schneier on Security Title: On Generative AI Security Feedly Summary: Microsoft’s AI Red Team just published “Lessons from Red Teaming 100 Generative AI Products.” Their blog post lists “three takeaways,” but the eight lessons in the report itself are more useful: Understand what the system can do and where it is…