Tag: lm

  • The Register: Asda security chief replaced, retailer sheds jobs during Walmart tech divorce

    Source URL: https://www.theregister.com/2024/11/14/senior_tech_departure_asda/ Source: The Register Title: Asda security chief replaced, retailer sheds jobs during Walmart tech divorce Feedly Summary: British grocer’s workers called back to office as clock ticks for contractors The head of tech security at Asda, the UK’s third-largest food retailer, has left amid an ongoing tech divorce from US grocery giant…

  • Simon Willison’s Weblog: Releasing the largest multilingual open pretraining dataset

    Source URL: https://simonwillison.net/2024/Nov/14/releasing-the-largest-multilingual-open-pretraining-dataset/#atom-everything Source: Simon Willison’s Weblog Title: Releasing the largest multilingual open pretraining dataset Feedly Summary: Releasing the largest multilingual open pretraining dataset Common Corpus is a new “open and permissible licensed text dataset, comprising over 2 trillion tokens (2,003,039,184,047 tokens)" released by French AI Lab PleIAs. This appears to be the largest available…

  • Hacker News: PRC Targeting of Commercial Telecommunications Infrastructure

    Source URL: https://www.fbi.gov/news/press-releases/joint-statement-from-fbi-and-cisa-on-the-peoples-republic-of-china-targeting-of-commercial-telecommunications-infrastructure Source: Hacker News Title: PRC Targeting of Commercial Telecommunications Infrastructure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the U.S. government’s investigation into cyber espionage by the People’s Republic of China targeting telecommunications infrastructure, highlighting the compromise of networks and sensitive data. It outlines the roles of the…

  • Hacker News: The Beginner’s Guide to Visual Prompt Injections

    Source URL: https://www.lakera.ai/blog/visual-prompt-injections Source: Hacker News Title: The Beginner’s Guide to Visual Prompt Injections Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses security vulnerabilities inherent in Large Language Models (LLMs), particularly focusing on visual prompt injections. As the reliance on models like GPT-4 increases for various tasks, concerns regarding the potential…

  • The Register: Snowflake opens chat-driven access to enterprise and third-party data

    Source URL: https://www.theregister.com/2024/11/13/snowflake_intelligence/ Source: The Register Title: Snowflake opens chat-driven access to enterprise and third-party data Feedly Summary: Cortex-powered front end for easier access to insights across multiple sources Snowflake is set to preview a new platform it claims will help organizations build chatbots that can serve up data from its own analytics systems and…

  • METR Blog – METR: The Rogue Replication Threat Model

    Source URL: https://metr.org/blog/2024-11-12-rogue-replication-threat-model/ Source: METR Blog – METR Title: The Rogue Replication Threat Model Feedly Summary: AI Summary and Description: Yes Summary: The text outlines the emerging threat of “rogue replicating agents” in the context of AI, focusing on their potential to autonomously replicate and adapt, which poses significant risks. The discussion centers on the…

  • Hacker News: Watermark Anything

    Source URL: https://github.com/facebookresearch/watermark-anything Source: Hacker News Title: Watermark Anything Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Watermark Anything,” a method for embedding localized watermarks into images using pretrained models and a specific implementation within a Python environment. It outlines the installation process, utilization of the COCO dataset for training, and…

  • Cloud Blog: Data loading best practices for AI/ML inference on GKE

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke/ Source: Cloud Blog Title: Data loading best practices for AI/ML inference on GKE Feedly Summary: As AI models increase in sophistication, there’s increasingly large model data needed to serve them. Loading the models and weights along with necessary frameworks to serve them for inference can add seconds or even minutes of scaling…

  • Cloud Blog: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/gke-65k-nodes-and-counting/ Source: Cloud Blog Title: 65,000 nodes and counting: Google Kubernetes Engine is ready for trillion-parameter AI models Feedly Summary: As generative AI evolves, we’re beginning to see the transformative potential it is having across industries and our lives. And as large language models (LLMs) increase in size — current models are reaching…

  • Cloud Blog: Unlocking LLM training efficiency with Trillium — a performance analysis

    Source URL: https://cloud.google.com/blog/products/compute/trillium-mlperf-41-training-benchmarks/ Source: Cloud Blog Title: Unlocking LLM training efficiency with Trillium — a performance analysis Feedly Summary: Rapidly evolving generative AI models place unprecedented demands on the performance and efficiency of hardware accelerators. Last month, we launched our sixth-generation Tensor Processing Unit (TPU), Trillium, to address the demands of next-generation models. Trillium is…