Experimental News Clipping Site

Tag: datasets

  • Slashdot: Meta Sets Up War Rooms To Analyze DeepSeek’s Tech

    —

    by

    Kurt Seifried
    in

    Source URL: https://tech.slashdot.org/story/25/01/27/1648226/meta-sets-up-war-rooms-to-analyze-deepseeks-tech?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Sets Up War Rooms To Analyze DeepSeek’s Tech Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Meta’s strategic response to analyzing DeepSeek’s technology, a large-language model developed in China. This reflects competitive dynamics in the AI landscape, particularly in the realm of cost-effective model training…

  • Hacker News: How DeepSeek-R1 Was Built, for Dummies

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.vellum.ai/blog/the-training-of-deepseek-r1-and-ways-to-use-it Source: Hacker News Title: How DeepSeek-R1 Was Built, for Dummies Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses DeepSeek’s innovative approach to training reasoning models through pure reinforcement learning (RL) without labeled data. This breakthrough could significantly impact the development of AI, particularly in the realm of large…

  • Simon Willison’s Weblog: The impact of competition and DeepSeek on Nvidia

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-nvidia/ Source: Simon Willison’s Weblog Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: The impact of competition and DeepSeek on Nvidia Long, excellent piece by Jeffrey Emanuel capturing the current state of the AI/LLM industry. The original title is “The Short Case for Nvidia Stock" – I’m using the Hacker…

  • 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…

  • Hacker News: AI Slop, Suspicion, and Writing Back

    —

    by

    Kurt Seifried
    in

    Source URL: https://benjamincongdon.me/blog/2025/01/25/AI-Slop-Suspicion-and-Writing-Back/ Source: Hacker News Title: AI Slop, Suspicion, and Writing Back Feedly Summary: Comments AI Summary and Description: Yes Short Summary with Insight: The text discusses the proliferation of AI-generated content, termed “AI slop,” and raises concerns about its impact on the authenticity and quality of written material across social media and other…

  • Hacker News: Why Your AI Product Team Needs an AI Quality Lead

    —

    by

    Kurt Seifried
    in

    Source URL: https://freeplay.ai/blog/why-your-ai-product-team-needs-an-ai-quality-lead Source: Hacker News Title: Why Your AI Product Team Needs an AI Quality Lead Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the establishment of the “AI Quality Lead” role at Help Scout, highlighting its importance in enhancing AI team’s effectiveness and product quality through domain expertise combined…

  • New York Times – Artificial Intelligence : Meta to Increase Spending to $65 Billion This Year in A.I. Push

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.nytimes.com/2025/01/24/technology/meta-data-center.html Source: New York Times – Artificial Intelligence Title: Meta to Increase Spending to $65 Billion This Year in A.I. Push Feedly Summary: Much of the investment will go into increasing the company’s footprint in data centers, which provide the computing power that A.I. products and algorithms require. AI Summary and Description: Yes…

  • Hacker News: Supercharge vector search with ColBERT rerank in PostgreSQL

    —

    by

    Kurt Seifried
    in

    Source URL: https://blog.vectorchord.ai/supercharge-vector-search-with-colbert-rerank-in-postgresql Source: Hacker News Title: Supercharge vector search with ColBERT rerank in PostgreSQL Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses ColBERT, an innovative method for vector search that enhances search accuracy by representing text as token-level multi-vectors rather than sentence-level embeddings. This approach retains nuanced information and improves…