Experimental News Clipping Site

Tag: processing

  • Simon Willison’s Weblog: Quoting Paul Gauthier

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/paul-gauthier/ Source: Simon Willison’s Weblog Title: Quoting Paul Gauthier Feedly Summary: In my experience with AI coding, very large context windows aren’t useful in practice. Every model seems to get confused when you feed them more than ~25-30k tokens. The models stop obeying their system prompts, can’t correctly find/transcribe pieces of code in…

  • Hacker News: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://qwenlm.github.io/blog/qwen2.5-1m/ Source: Hacker News Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length Up to 1M Tokens Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reports on the new release of the open-source Qwen2.5-1M models, capable of processing up to one million tokens, significantly improving inference speed and model performance…

  • Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…

  • Slashdot: Could New Linux Code Cut Data Center Energy Use By 30%?

    —

    by

    Kurt Seifried
    in

    Source URL: https://hardware.slashdot.org/story/25/01/25/2111225/could-new-linux-code-cut-data-center-energy-use-by-30?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Could New Linux Code Cut Data Center Energy Use By 30%? Feedly Summary: AI Summary and Description: Yes Summary: Researchers at the University of Waterloo have developed an energy-efficient code modification for Linux that could significantly reduce data center energy consumption. Their innovation focuses on optimizing network traffic processing,…

  • Hacker News: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

    —

    by

    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2501.12948 Source: Hacker News Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the introduction of new language models, DeepSeek-R1 and DeepSeek-R1-Zero, developed to enhance reasoning capabilities in large language models (LLMs) through reinforcement learning. This research represents a significant advancement…

  • The Register: What happens when we can’t just build bigger AI datacenters anymore?

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/01/24/build_bigger_ai_datacenters/ Source: The Register Title: What happens when we can’t just build bigger AI datacenters anymore? Feedly Summary: We stitch together enormous supercomputers from other smaller supercomputers of course Feature Generative AI models have not only exploded in popularity over the past two years, but they’ve also grown at a precipitous rate, necessitating…

  • Cloud Blog: Announcing smaller machine types for A3 High VMs

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/compute/announcing-smaller-machine-types-for-a3-high-vms/ Source: Cloud Blog Title: Announcing smaller machine types for A3 High VMs Feedly Summary: Today, an increasing number of organizations are using GPUs to run inference1 on their AI/ML models. Since the number of GPUs needed to serve a single inference workload varies, organizations need more granularity in the number of GPUs…

  • Cloud Blog: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/tchibo-brews-up-10x-faster-customer-insights-with-alloydb-for-postgresql/ Source: Cloud Blog Title: Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL Feedly Summary: Tchibo, a well-known coffee retailer and lifestyle brand based in Germany, needed a faster, smarter way to manage and interpret vast amounts of customer feedback across its diverse product offerings and sales channels. To meet…

  • Hacker News: Data Branching for Batch Job Systems

    —

    by

    Kurt Seifried
    in

    Source URL: https://isaacjordan.me/blog/2025/01/data-branching-for-batch-job-systems Source: Hacker News Title: Data Branching for Batch Job Systems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines a novel approach to data management by treating data similar to code versioning, utilizing branching strategies to enhance data security, auditing, and experimentation within batch jobs. This mirrors software development…