Experimental News Clipping Site

Tag: Inference

  • Hacker News: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue"

    —

    by

    Kurt Seifried
    in

    Source URL: https://openpipe.ai/blog/using-grpo-to-beat-o1-o3-mini-and-r1-on-temporal-clue Source: Hacker News Title: Using GRPO to Beat o1, o3-mini and R1 at "Temporal Clue" Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The provided text explores the application of reinforcement learning to enhance the deductive reasoning capabilities of smaller, open-weight models in AI. Specifically, it focuses on…

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

    —

    by

    Kurt Seifried
    in

    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • Simon Willison’s Weblog: QwQ-32B: Embracing the Power of Reinforcement Learning

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Mar/5/qwq-32b/#atom-everything Source: Simon Willison’s Weblog Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: QwQ-32B: Embracing the Power of Reinforcement Learning New Apache 2 licensed reasoning model from Qwen: We are excited to introduce QwQ-32B, a model with 32 billion parameters that achieves performance comparable to DeepSeek-R1, which boasts 671 billion parameters…

  • Hacker News: QwQ-32B: Embracing the Power of Reinforcement Learning

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwq-32b/ Source: Hacker News Title: QwQ-32B: Embracing the Power of Reinforcement Learning Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in Reinforcement Learning (RL) as applied to large language models, particularly highlighting the launch of the QwQ-32B model. It emphasizes the model’s performance enhancements through RL and…

  • Hacker News: ARC-AGI without pretraining

    —

    by

    Kurt Seifried
    in

    Source URL: https://iliao2345.github.io/blog_posts/arc_agi_without_pretraining/arc_agi_without_pretraining.html Source: Hacker News Title: ARC-AGI without pretraining Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents “CompressARC,” a novel method demonstrating that lossless information compression can generate intelligent behavior in artificial intelligence (AI) systems, notably in solving ARC-AGI puzzles without extensive pretraining or large datasets. This approach challenges conventional…

  • Hacker News: Looking Back at Speculative Decoding

    —

    by

    Kurt Seifried
    in

    Source URL: https://research.google/blog/looking-back-at-speculative-decoding/ Source: Hacker News Title: Looking Back at Speculative Decoding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in large language models (LLMs) centered around a technique called speculative decoding, which significantly improves inference times without compromising output quality. This development is particularly relevant for professionals in…

  • AWS News Blog: Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available

    —

    by

    Kurt Seifried
    in

    Source URL: https://aws.amazon.com/blogs/aws/get-insights-from-multimodal-content-with-amazon-bedrock-data-automation-now-generally-available/ Source: AWS News Blog Title: Get insights from multimodal content with Amazon Bedrock Data Automation, now generally available Feedly Summary: Amazon Bedrock Data Automation streamlines the extraction of valuable insights from unstructured multimodal content (documents, images, audio, and videos) by providing a simplified way to build intelligent document processing and media analysis…

  • Cloud Blog: How to calculate your AI costs on Google Cloud

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/cost-management/unlock-the-true-cost-of-enterprise-ai-on-google-cloud/ Source: Cloud Blog Title: How to calculate your AI costs on Google Cloud Feedly Summary: What is the true cost of enterprise AI? As a technology leader and a steward of company resources, understanding these costs isn’t just prudent – it’s essential for sustainable AI adoption. To help, we’ll unveil a comprehensive…

  • Hacker News: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2502.12962 Source: Hacker News Title: 3x Improvement with Infinite Retrieval: Attention Enhanced LLMs in Long-Context Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach called InfiniRetri, which enhances long-context processing capabilities of Large Language Models (LLMs) by utilizing their own attention mechanisms for improved retrieval accuracy. This…

  • Hacker News: Fire-Flyer File System from DeepSeek

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/deepseek-ai/3FS Source: Hacker News Title: Fire-Flyer File System from DeepSeek Feedly Summary: Comments AI Summary and Description: Yes Summary: The Fire-Flyer File System (3FS) is a distributed file system designed to optimize AI training and inference workloads by harnessing modern hardware capabilities. The text discusses its performance, a benchmarking approach using the GraySort…