Tag: inference capabilities

  • The Register: Cerebras to light up datacenters in North America and France packed with AI accelerators

    Source URL: https://www.theregister.com/2025/03/11/cerebras_dc_buildout/ Source: The Register Title: Cerebras to light up datacenters in North America and France packed with AI accelerators Feedly Summary: Plus, startup’s inference service makes debut on Hugging Face Cerebras has begun deploying more than a thousand of its dinner-plate sized-accelerators across North America and parts of France as the startup looks…

  • Cloud Blog: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/ai-hypercomputer-4-use-cases-tutorials-and-guides/ Source: Cloud Blog Title: Guide: Our top four AI Hypercomputer use cases, reference architectures and tutorials Feedly Summary: AI Hypercomputer is a fully integrated supercomputing architecture for AI workloads – and it’s easier to use than you think. In this blog, we break down four common use cases, including reference architectures and…

  • Hacker News: What Your Email Address Reveals About You: LLMs and Digital Footprints

    Source URL: https://www.maximepeabody.com/blog/email-address-psychic Source: Hacker News Title: What Your Email Address Reveals About You: LLMs and Digital Footprints Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into how large language models (LLMs) can reveal sensitive information through digital footprints, highlighting the privacy concerns surrounding AI. It discusses the risks of…

  • Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…

  • Slashdot: Nvidia’s Huang Says His AI Chips Are Improving Faster Than Moore’s Law

    Source URL: https://tech.slashdot.org/story/25/01/08/1338245/nvidias-huang-says-his-ai-chips-are-improving-faster-than-moores-law?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Nvidia’s Huang Says His AI Chips Are Improving Faster Than Moore’s Law Feedly Summary: AI Summary and Description: Yes Summary: Nvidia’s advancements in AI chip technology are significantly outpacing Moore’s Law, presenting new opportunities for innovation across the stack of architecture, systems, libraries, and algorithms. This progress will not…

  • Simon Willison’s Weblog: Gemini 2.0 Flash "Thinking mode"

    Source URL: https://simonwillison.net/2024/Dec/19/gemini-thinking-mode/#atom-everything Source: Simon Willison’s Weblog Title: Gemini 2.0 Flash "Thinking mode" Feedly Summary: Those new model releases just keep on flowing. Today it’s Google’s snappily named gemini-2.0-flash-thinking-exp, their first entrant into the o1-style inference scaling class of models. I posted about a great essay about the significance of these just this morning. From…

  • Cloud Blog: Announcing the general availability of Trillium, our sixth-generation TPU

    Source URL: https://cloud.google.com/blog/products/compute/trillium-tpu-is-ga/ Source: Cloud Blog Title: Announcing the general availability of Trillium, our sixth-generation TPU Feedly Summary: The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over…