Experimental News Clipping Site

Tag: retrieval

  • Simon Willison’s Weblog: LLM 0.22, the annotated release notes

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/17/llm/#atom-everything Source: Simon Willison’s Weblog Title: LLM 0.22, the annotated release notes Feedly Summary: I released LLM 0.22 this evening. Here are the annotated release notes: model.prompt(…, key=) for API keys chatgpt-4o-latest llm logs -s/–short llm models -q gemini -q exp llm embed-multi –prepend X Everything else model.prompt(…, key=) for API keys Plugins…

  • Simon Willison’s Weblog: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/12/nomic-embed-text-v2/#atom-everything Source: Simon Willison’s Weblog Title: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Feedly Summary: Nomic Embed Text V2: An Open Source, Multilingual, Mixture-of-Experts Embedding Model Nomic continue to release the most interesting and powerful embedding models. Their latest is Embed Text V2, an Apache 2.0 licensed multi-lingual 1.9GB…

  • Simon Willison’s Weblog: Building a SNAP LLM eval: part 1

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Feb/12/building-a-snap-llm/#atom-everything Source: Simon Willison’s Weblog Title: Building a SNAP LLM eval: part 1 Feedly Summary: Building a SNAP LLM eval: part 1 Dave Guarino (previously) has been exploring using LLM-driven systems to help people apply for SNAP, the US Supplemental Nutrition Assistance Program (aka food stamps). This is a domain which existing models…

  • Cloud Blog: News you can use: What we announced in AI this month

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/what-google-cloud-announced-in-ai-this-month/ Source: Cloud Blog Title: News you can use: What we announced in AI this month Feedly Summary: 2025 is off to a racing start. From announcing strides in the new Gemini 2.0 model family to retailers accelerating with Cloud AI, we spent January investing in our partner ecosystem, open-source, and ways to…

  • Hacker News: HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2405.14831 Source: Hacker News Title: HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper presents HippoRAG, an innovative framework designed to enhance the long-term memory capabilities of Large Language Models (LLMs) by emulating neurobiological processes. This work is particularly relevant for AI…

  • Irrational Exuberance: Our own agents with their own tools.

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    Kurt Seifried
    in

    Source URL: https://lethain.com/our-own-agents-our-own-tools/ Source: Irrational Exuberance Title: Our own agents with their own tools. Feedly Summary: Entering 2025, I decided to spend some time exploring the topic of agents. I started reading Anthropic’s Building effective agents, followed by Chip Huyen’s AI Engineering. I kicked off a major workstream at work on using agents, and I…

  • Hacker News: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.01142 Source: Hacker News Title: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel framework called DeepRAG, designed to improve the reasoning capabilities of Large Language Models (LLMs) by enhancing the retrieval-augmented generation process. This is particularly…