Tag: model development
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Cloud Blog: Powerful infrastructure innovations for your AI-first future
Source URL: https://cloud.google.com/blog/products/compute/trillium-sixth-generation-tpu-is-in-preview/ Source: Cloud Blog Title: Powerful infrastructure innovations for your AI-first future Feedly Summary: The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing…
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Hacker News: Why Are ML Compilers So Hard? « Pete Warden’s Blog
Source URL: https://petewarden.com/2021/12/24/why-are-ml-compilers-so-hard/ Source: Hacker News Title: Why Are ML Compilers So Hard? « Pete Warden’s Blog Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the complexities and challenges faced by machine learning (ML) compiler writers, specifically relating to the transition from experimentation in ML frameworks like TensorFlow and PyTorch to…
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Cloud Blog: Adapting model risk management for financial institutions in the generative AI era
Source URL: https://cloud.google.com/blog/topics/financial-services/adapting-model-risk-management-in-the-gen-ai-era/ Source: Cloud Blog Title: Adapting model risk management for financial institutions in the generative AI era Feedly Summary: Generative AI (gen AI) promises to usher in an era of transformation for quality, accessibility, efficiency, and compliance in the financial services industry. As with any new technology, it also introduces new complexities and…
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OpenAI : Simplifying, stabilizing, and scaling continuous-time consistency models
Source URL: https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models Source: OpenAI Title: Simplifying, stabilizing, and scaling continuous-time consistency models Feedly Summary: We’ve simplified, stabilized, and scaled continuous-time consistency models, achieving comparable sample quality to leading diffusion models, while using only two sampling steps. AI Summary and Description: Yes Summary: The text highlights advancements in continuous-time consistency models within the realm of…
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METR Blog – METR: Common Elements of Frontier AI Safety Policies
Source URL: https://metr.org/blog/2024-08-29-common-elements-of-frontier-ai-safety-policies/ Source: METR Blog – METR Title: Common Elements of Frontier AI Safety Policies Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the Frontier AI Safety Commitments made by sixteen developers of large foundation models at the AI Seoul Summit, which focus on risk evaluation and mitigation strategies to ensure…
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Hacker News: Un Ministral, Des Ministraux
Source URL: https://mistral.ai/news/ministraux/ Source: Hacker News Title: Un Ministral, Des Ministraux Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces two advanced edge AI models, Ministral 3B and Ministral 8B, designed for on-device computing and privacy-first applications. These models stand out for their efficiency, context length support, and capability to facilitate critical…