Experimental News Clipping Site

Tag: transformers

  • Hacker News: 400x faster embeddings models using static embeddings

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    Kurt Seifried
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    Source URL: https://huggingface.co/blog/static-embeddings Source: Hacker News Title: 400x faster embeddings models using static embeddings Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This blog post discusses a new method to train static embedding models significantly faster than existing state-of-the-art models. These models are suited for various applications, including on-device and in-browser execution, and edge…

  • Hacker News: Entropy of a Large Language Model output

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    Kurt Seifried
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    Source URL: https://nikkin.dev/blog/llm-entropy.html Source: Hacker News Title: Entropy of a Large Language Model output Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text discusses the functionalities and implications of large language models (LLMs) like ChatGPT from an information theoretic perspective, particularly focusing on concepts such as token generation and entropy. This examination provides…

  • Hacker News: WorstFit: Unveiling Hidden Transformers in Windows ANSI

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    Kurt Seifried
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    Source URL: https://blog.orange.tw/posts/2025-01-worstfit-unveiling-hidden-transformers-in-windows-ansi/ Source: Hacker News Title: WorstFit: Unveiling Hidden Transformers in Windows ANSI Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel security vulnerability termed “WorstFit” that exploits Microsoft Windows’ character encoding and conversion mechanisms, particularly its Best-Fit behavior, leading to various forms of attacks including Remote Code Execution…

  • Hacker News: The State of Generative Models

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    Source URL: https://nrehiew.github.io/blog/2024/ Source: Hacker News Title: The State of Generative Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a comprehensive overview of the advances in generative AI technologies, particularly focusing on Large Language Models (LLMs) and their architectures, image generation models, and emerging trends leading into 2025. It discusses…

  • Hacker News: RWKV Language Model

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    Source URL: https://www.rwkv.com/ Source: Hacker News Title: RWKV Language Model Feedly Summary: Comments AI Summary and Description: Yes Summary: The RWKV (RNN with LLM capabilities) presents a significant innovation in language model design by combining the advantages of recurrent neural networks (RNNs) and transformers. Its unique features, including linear time processing and lack of attention…

  • Simon Willison’s Weblog: Open WebUI

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    Source URL: https://simonwillison.net/2024/Dec/27/open-webui/#atom-everything Source: Simon Willison’s Weblog Title: Open WebUI Feedly Summary: Open WebUI I tried out this open source (MIT licensed, JavaScript and Python) localhost UI for accessing LLMs today for the first time. It’s very nicely done. I ran it with uvx like this: uvx –python 3.11 open-webui serve On first launch it…

  • Hacker News: An attempt at AGI on the Tokio Runtime

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    Source URL: https://www.christo.sh/building-agi-on-the-tokio-runtime/ Source: Hacker News Title: An attempt at AGI on the Tokio Runtime Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text outlines an individual’s experimental journey to build Artificial General Intelligence (AGI) through a biologically inspired neural network running on the Tokio Runtime. The project involves a unique approach to…

  • Simon Willison’s Weblog: Trying out QvQ – Qwen’s new visual reasoning model

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    Source URL: https://simonwillison.net/2024/Dec/24/qvq/#atom-everything Source: Simon Willison’s Weblog Title: Trying out QvQ – Qwen’s new visual reasoning model Feedly Summary: I thought we were done for major model releases in 2024, but apparently not: Alibaba’s Qwen team just dropped the Apache2 2 licensed QvQ-72B-Preview, “an experimental research model focusing on enhancing visual reasoning capabilities". Their blog…

  • Hacker News: No More Adam: Learning Rate Scaling at Initialization Is All You Need

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    Source URL: https://arxiv.org/abs/2412.11768 Source: Hacker News Title: No More Adam: Learning Rate Scaling at Initialization Is All You Need Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a novel optimization technique called SGD-SaI that enhances the stochastic gradient descent (SGD) algorithm for training deep neural networks. This method simplifies the process…

  • Cloud Blog: Orchestrating GPU-based distributed training workloads on AI Hypercomputer

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gpu-orchestration-options-on-ai-hypercomputer/ Source: Cloud Blog Title: Orchestrating GPU-based distributed training workloads on AI Hypercomputer Feedly Summary: When it comes to AI, large language models (LLMs) and machine learning (ML) are taking entire industries to the next level. But with larger models and datasets, developers need distributed environments that span multiple AI accelerators (e.g. GPUs…