Tag: diffusion models

  • Cloud Blog: Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/q2-2025-ai-hypercomputer-updates/ Source: Cloud Blog Title: Announcements for AI Hypercomputer: The latest infrastructure news for ML practitioners Feedly Summary: Curious about the latest in AI infrastructure from Google Cloud? Every three months we share a roundup of the latest AI Hypercomputer news, resources, events, learning opportunities, and more. Read on to learn new ways…

  • Simon Willison’s Weblog: Gemini Diffusion

    Source URL: https://simonwillison.net/2025/May/21/gemini-diffusion/ Source: Simon Willison’s Weblog Title: Gemini Diffusion Feedly Summary: Gemini Diffusion Another of the announcements from Google I/O yesterday was Gemini Diffusion, Google’s first LLM to use diffusion (similar to image models like Imagen and Stable Diffusion) in place of transformers. Google describe it like this: Traditional autoregressive language models generate text…

  • Cloud Blog: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer

    Source URL: https://cloud.google.com/blog/products/compute/ai-hypercomputer-inference-updates-for-google-cloud-tpu-and-gpu/ Source: Cloud Blog Title: From LLMs to image generation: Accelerate inference workloads with AI Hypercomputer Feedly Summary: From retail to gaming, from code generation to customer care, an increasing number of organizations are running LLM-based applications, with 78% of organizations in development or production today. As the number of generative AI applications…

  • CSA: How Can AI Governance Ensure Ethical AI Use?

    Source URL: https://cloudsecurityalliance.org/blog/2025/03/14/ai-security-and-governance Source: CSA Title: How Can AI Governance Ensure Ethical AI Use? Feedly Summary: AI Summary and Description: Yes Summary: The text addresses the critical importance of AI security and governance amidst the rapid adoption of AI technologies across industries. It highlights the need for transparent and ethical AI practices and outlines regulatory…

  • Hacker News: Some Thoughts on Autoregressive Models

    Source URL: https://wonderfall.dev/autoregressive/ Source: Hacker News Title: Some Thoughts on Autoregressive Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text offers a comprehensive critique of autoregressive (AR) models, particularly large language models (LLMs), highlighting their strengths and limitations regarding human-like cognition and reasoning. It emphasizes the need for alternative architectures that integrate…

  • Hacker News: Why I find diffusion models interesting?

    Source URL: https://rnikhil.com/2025/03/06/diffusion-models-eval Source: Hacker News Title: Why I find diffusion models interesting? Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a newly released diffusion model, known as dLLM, which aims to enhance the traditional autoregressive approach used in language model generation by allowing simultaneous generation and validation of text. This…

  • Hacker News: MIT 6.S184: Introduction to Flow Matching and Diffusion Models

    Source URL: https://diffusion.csail.mit.edu Source: Hacker News Title: MIT 6.S184: Introduction to Flow Matching and Diffusion Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text presents an educational overview of the MIT course “Generative AI with Stochastic Differential Equations,” focusing on diffusion and flow-based models used in generative AI. The course teaches…

  • Slashdot: Inception Emerges From Stealth With a New Type of AI Model

    Source URL: https://slashdot.org/story/25/02/26/2257224/inception-emerges-from-stealth-with-a-new-type-of-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Inception Emerges From Stealth With a New Type of AI Model Feedly Summary: AI Summary and Description: Yes Summary: Inception, a startup led by Stanford professor Stefano Ermon, has developed a highly efficient diffusion-based large language model (DLM) that surpasses traditional models in both speed and cost-effectiveness. By enabling…

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • The Register: The future of AI is … analog? Upstart bags $100M to push GPU-like brains on less juice

    Source URL: https://www.theregister.com/2025/02/17/encharge_ai_compute/ Source: The Register Title: The future of AI is … analog? Upstart bags $100M to push GPU-like brains on less juice Feedly Summary: EnCharge claims 150 TOPS/watt, a 20x performance-per-watt edge Interview AI chip startup EnCharge claims its analog artificial intelligence accelerators could rival desktop GPUs while using just a fraction of…