Experimental News Clipping Site

Tag: large language models

  • Hacker News: Nvidia might do for desktop AI what it did for desktop gaming

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    Kurt Seifried
    in

    Source URL: https://www.theangle.com/p/nvidia-might-do-for-desktop-ai-what Source: Hacker News Title: Nvidia might do for desktop AI what it did for desktop gaming Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses NVIDIA’s keynote at CES, where CEO Jensen Huang introduced ‘Project Digits,’ a new initiative aimed at providing powerful AI processing capabilities for individual users.…

  • CSA: Using AI Effectively: An Intro to Prompt Engineering

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    Kurt Seifried
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    Source URL: https://cloudsecurityalliance.org/blog/2025/01/15/unlocking-the-power-of-ai-an-intro-to-prompt-engineering Source: CSA Title: Using AI Effectively: An Intro to Prompt Engineering Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the importance of prompt engineering in utilizing Large Language Models (LLMs) effectively, highlighting how tailored prompts can improve the outputs from AI systems. The focus is on crafting clear instructions…

  • The Register: Megan, AI recruiting agent, is on the job so HR can ‘do less of the repetitive stuff’

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/15/megan_ai_recruiting_agent/ Source: The Register Title: Megan, AI recruiting agent, is on the job so HR can ‘do less of the repetitive stuff’ Feedly Summary: She doesn’t feel pity, remorse, or fear, but she’ll craft a polite email message Interview Mega HR, a Florida-based human resources startup, today launched an AI agent service called…

  • Hacker News: Don’t use cosine similarity carelessly

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    Kurt Seifried
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    Source URL: https://p.migdal.pl/blog/2025/01/dont-use-cosine-similarity/ Source: Hacker News Title: Don’t use cosine similarity carelessly Feedly Summary: Comments AI Summary and Description: Yes Summary: The text explores the complexities and limitations of using cosine similarity in AI, particularly in the context of vector embeddings derived from language models. It critiques the blind application of cosine similarity to assess…

  • Simon Willison’s Weblog: Simon Willison And SWYX Tell Us Where AI Is In 2025

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/14/where-ai-is-in-2025/#atom-everything Source: Simon Willison’s Weblog Title: Simon Willison And SWYX Tell Us Where AI Is In 2025 Feedly Summary: Simon Willison And SWYX Tell Us Where AI Is In 2025 I recorded this podcast episode with Brian McCullough and swyx riffing off my Things we learned about LLMs in 2024 review. We also…

  • Hacker News: Cheating Is All You Need

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    Kurt Seifried
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    Source URL: https://sourcegraph.com/blog/cheating-is-all-you-need Source: Hacker News Title: Cheating Is All You Need Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides an enthusiastic commentary on the transformative impact of Large Language Models (LLMs) in software engineering, likening their significance to that of the World Wide Web or cloud computing. The author discusses…

  • Simon Willison’s Weblog: Quoting Alex Komoroske

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/13/alex-komoroske/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Alex Komoroske Feedly Summary: LLMs shouldn’t help you do less thinking, they should help you do more thinking. They give you higher leverage. Will that cause you to be satisfied with doing less, or driven to do more? — Alex Komoroske, Bits and bobs Tags: llms,…

  • Hacker News: How we used GPT-4o for image detection with 350 similar illustrations

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    Kurt Seifried
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    Source URL: https://olup-blog.pages.dev/stories/image-detection-cars Source: Hacker News Title: How we used GPT-4o for image detection with 350 similar illustrations Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative use of GPT-4o and computer vision technologies in developing a solution for image detection in a museum project. It highlights the shift in…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
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    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Docker: Meet Gordon: An AI Agent for Docker

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/meet-gordon-an-ai-agent-for-docker/ Source: Docker Title: Meet Gordon: An AI Agent for Docker Feedly Summary: We share our experiments creating a Docker AI Agent, named Gordon, which can help new users learn about our tools and products and help power users get things done faster. AI Summary and Description: Yes Summary: The text discusses a…