Experimental News Clipping Site

Tag: Inference

  • 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…

  • 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…

  • 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…

  • Hacker News: Huawei’s Ascend 910C delivers 60% of Nvidia H100 inference performance

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    Kurt Seifried
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    Source URL: https://www.tomshardware.com/tech-industry/artificial-intelligence/deepseek-research-suggests-huaweis-ascend-910c-delivers-60-percent-nvidia-h100-inference-performance Source: Hacker News Title: Huawei’s Ascend 910C delivers 60% of Nvidia H100 inference performance Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Huawei’s HiSilicon Ascend 910C processor, highlighting its potential in AI inference despite performance limitations in training compared to Nvidia’s offerings. It touches on the implications of…

  • Hacker News: How to Scale Your Model: A Systems View of LLMs on TPUs

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    Kurt Seifried
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    Source URL: https://jax-ml.github.io/scaling-book/ Source: Hacker News Title: How to Scale Your Model: A Systems View of LLMs on TPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the performance optimization of large language models (LLMs) on tensor processing units (TPUs), addressing issues related to scaling and efficiency. It emphasizes the importance…

  • Hacker News: Better AI Is a Matter of Timing

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    Kurt Seifried
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    Source URL: https://spectrum.ieee.org/mems-time Source: Hacker News Title: Better AI Is a Matter of Timing Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses innovations in clock technology for AI workloads, highlighting SiTime’s new MEMS-based Super-TCXO clock. This advancement aims to provide enhanced synchronization, energy savings, and improved efficiency in data centers, particularly…

  • Hacker News: AI systems with ‘unacceptable risk’ are now banned in the EU

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    Kurt Seifried
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    Source URL: https://techcrunch.com/2025/02/02/ai-systems-with-unacceptable-risk-are-now-banned-in-the-eu/ Source: Hacker News Title: AI systems with ‘unacceptable risk’ are now banned in the EU Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the recent developments regarding the EU’s AI Act, a regulatory framework aimed at managing the risks associated with AI systems. It details the compliance deadlines,…

  • Simon Willison’s Weblog: OpenAI reasoning models: Advice on prompting

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/2/openai-reasoning-models-advice-on-prompting/ Source: Simon Willison’s Weblog Title: OpenAI reasoning models: Advice on prompting Feedly Summary: OpenAI reasoning models: Advice on prompting OpenAI’s documentation for their o1 and o3 “reasoning models" includes some interesting tips on how to best prompt them: Developer messages are the new system messages: Starting with o1-2024-12-17, reasoning models support developer…

  • Hacker News: Running DeepSeek R1 Models Locally on NPU

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    Kurt Seifried
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    Source URL: https://blogs.windows.com/windowsdeveloper/2025/01/29/running-distilled-deepseek-r1-models-locally-on-copilot-pcs-powered-by-windows-copilot-runtime/ Source: Hacker News Title: Running DeepSeek R1 Models Locally on NPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in AI deployment on Copilot+ PCs, focusing on the release of NPU-optimized DeepSeek models for local AI application development. It highlights how these innovations, particularly through the use…

  • Simon Willison’s Weblog: OpenAI o3-mini, now available in LLM

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/31/o3-mini/#atom-everything Source: Simon Willison’s Weblog Title: OpenAI o3-mini, now available in LLM Feedly Summary: o3-mini is out today. As with other o-series models it’s a slightly difficult one to evaluate – we now need to decide if a prompt is best run using GPT-4o, o1, o3-mini or (if we have access) o1 Pro.…