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Tag: CoT

  • Cloud Blog: Enhancing AlloyDB vector search with inline filtering and enterprise observability

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/enhancing-alloydb-vector-search-with-inline-filtering-and-enterprise-observability/ Source: Cloud Blog Title: Enhancing AlloyDB vector search with inline filtering and enterprise observability Feedly Summary: Many specialized vector databases today require you to create complex pipelines and applications in order to get the data you need. AlloyDB for PostgreSQL offers Google Research’s, state-of-the-art vector search index, ScaNN, enabling you to optimize…

  • The Register: How nice that state-of-the-art LLMs reveal their reasoning … for miscreants to exploit

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    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/02/25/chain_of_thought_jailbreaking/ Source: The Register Title: How nice that state-of-the-art LLMs reveal their reasoning … for miscreants to exploit Feedly Summary: Blueprints shared for jail-breaking models that expose their chain-of-thought process Analysis AI models like OpenAI o1/o3, DeepSeek-R1, and Gemini 2.0 Flash Thinking can mimic human reasoning through a process called chain of thought.……

  • Scott Logic: There is more than one way to do GenAI

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    Kurt Seifried
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    Source URL: https://blog.scottlogic.com/2025/02/20/there-is-more-than-one-way-to-do-genai.html Source: Scott Logic Title: There is more than one way to do GenAI Feedly Summary: AI doesn’t have to be brute forced requiring massive data centres. Europe isn’t necessarily behind in AI arms race. In fact, the UK and Europe’s constraints and focus on more than just economic return and speculation might…

  • Hacker News: OpenArc – Lightweight Inference Server for OpenVINO

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    Kurt Seifried
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    Source URL: https://github.com/SearchSavior/OpenArc Source: Hacker News Title: OpenArc – Lightweight Inference Server for OpenVINO Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OpenArc is a lightweight inference API backend optimized for leveraging hardware acceleration with Intel devices, designed for agentic use cases and capable of serving large language models (LLMs) efficiently. It offers a…

  • The Register: UK government insiders say AI datacenters may be a pricey white elephant

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/12/uk_gov_ai_datacenters/ Source: The Register Title: UK government insiders say AI datacenters may be a pricey white elephant Feedly Summary: Economy-boosting bit barn? Not in my back yard, some locals expected to say The British government is pressing ahead with “AI Growth Zones" amid fears the rush to build datacenters to power AI could…

  • Hacker News: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

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    Kurt Seifried
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    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…

  • Hacker News: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon

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    Kurt Seifried
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    Source URL: https://community.amd.com/t5/ai/experience-the-deepseek-r1-distilled-reasoning-models-on-amd/ba-p/740593 Source: Hacker News Title: Experience the DeepSeek R1 Distilled ‘Reasoning’ Models on Ryzen AI and Radeon Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the DeepSeek R1 model, a newly developed reasoning model in the realm of large language models (LLMs). It highlights its unique ability to perform…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…