Tag: language models
-
Cloud Blog: Transforming DoD’s data utilization with generative AI
Source URL: https://cloud.google.com/blog/topics/public-sector/transforming-dods-data-utilization-with-generative-ai/ Source: Cloud Blog Title: Transforming DoD’s data utilization with generative AI Feedly Summary: Generative AI presents both immense opportunities and challenges for the Department of Defense (DoD). The potential to enhance situational awareness, streamline tasks, and improve decision-making is significant. However, the DoD’s unique requirements, especially their stringent security standards for cloud…
-
Hacker News: BERTs Are Generative In-Context Learners
Source URL: https://arxiv.org/abs/2406.04823 Source: Hacker News Title: BERTs Are Generative In-Context Learners Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “BERTs are Generative In-Context Learners” explores the capabilities of masked language models, specifically DeBERTa, in performing generative tasks akin to those of causal language models like GPT. This demonstrates a significant…
-
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: 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…
-
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…
-
Simon Willison’s Weblog: Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac
Source URL: https://simonwillison.net/2024/Nov/12/qwen25-coder/ Source: Simon Willison’s Weblog Title: Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac Feedly Summary: There’s a whole lot of buzz around the new Qwen2.5-Coder Series of open source (Apache 2.0 licensed) LLM releases from Alibaba’s Qwen research team. On first impression it looks like the buzz…
-
The Register: AWS opens cluster of 40K Trainium AI accelerators to researchers
Source URL: https://www.theregister.com/2024/11/12/aws_trainium_researchers/ Source: The Register Title: AWS opens cluster of 40K Trainium AI accelerators to researchers Feedly Summary: Throwing novel hardware at academia. It’s a tale as old as time Amazon wants more people building applications and frameworks for its custom Trainium accelerators and is making up to 40,000 chips available to university researchers…
-
Slashdot: Power Shortage To Hit 40% of AI Data Centres by 2027, Gartner Warns
Source URL: https://slashdot.org/story/24/11/12/1758224/power-shortage-to-hit-40-of-ai-data-centres-by-2027-gartner-warns?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Power Shortage To Hit 40% of AI Data Centres by 2027, Gartner Warns Feedly Summary: AI Summary and Description: Yes Summary: Gartner’s research reveals that operational constraints due to power shortages will impact 40% of AI data centers by 2027. The power consumption of AI-optimized servers is expected to…