Experimental News Clipping Site

Tag: llm

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

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    Kurt Seifried
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    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: Transformer^2: Self-Adaptive LLMs

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    Kurt Seifried
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    Source URL: https://sakana.ai/transformer-squared/ Source: Hacker News Title: Transformer^2: Self-Adaptive LLMs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the innovative Transformer² machine learning system, which introduces self-adaptive capabilities to LLMs, allowing them to adjust dynamically to various tasks. This advancement promises significant improvements in AI efficiency and adaptability, paving the way…

  • 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…

  • Hacker News: Show HN: Value likelihoods for OpenAI structured output

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    Kurt Seifried
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    Source URL: https://arena-ai.github.io/structured-logprobs/ Source: Hacker News Title: Show HN: Value likelihoods for OpenAI structured output Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the open-source Python library “structured-logprobs,” which enhances the understanding and reliability of outputs from OpenAI’s Language Learning Models (LLM) by providing detailed log probability information. This offers valuable…

  • Cloud Blog: Unlock multimodal search at scale: Combine text & image power with Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/combine-text-image-power-with-vertex-ai/ Source: Cloud Blog Title: Unlock multimodal search at scale: Combine text & image power with Vertex AI Feedly Summary: The way users search is evolving. When searching for a product, users might type in natural-sounding language or search with images. In return, they want tailored results that are specific to their query.…

  • 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
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    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,…