Tag: optimization
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Slashdot: Satya Nadella Says DeepSeek Is the New Bar For Microsoft’s AI Success
Source URL: https://slashdot.org/story/25/03/27/1714214/satya-nadella-says-deepseek-is-the-new-bar-for-microsofts-ai-success?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Satya Nadella Says DeepSeek Is the New Bar For Microsoft’s AI Success Feedly Summary: AI Summary and Description: Yes Summary: Microsoft CEO Satya Nadella’s remarks on DeepSeek’s R1 AI model highlight its significant impact on the company’s AI strategy. The model’s success in the app store demonstrates a shift…
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Cloud Blog: Harvesting hardware: Our approach to carbon-aware fleet deployment
Source URL: https://cloud.google.com/blog/topics/sustainability/hardware-harvesting-at-google-reducing-waste-and-emissions/ Source: Cloud Blog Title: Harvesting hardware: Our approach to carbon-aware fleet deployment Feedly Summary: When it comes to managing the infrastructure and AI that powers Google’s products and platforms – from Search to YouTube to Google Cloud – every decision we make has an impact. Traditionally, meeting growing demands for machine capacity…
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Hacker News: OpenAI uses open source Ory to authenticate over 400M weekly active users
Source URL: https://www.ory.sh/blog/openai-oauth2-server-open-source Source: Hacker News Title: OpenAI uses open source Ory to authenticate over 400M weekly active users Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolution and optimization of Ory Hydra, a server that provides OAuth2 and OpenID Connect functionalities. It highlights its relevance in powering OpenAI’s authentication…
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Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data
Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…
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Hacker News: OpenAI adds MCP support to Agents SDK
Source URL: https://openai.github.io/openai-agents-python/mcp/ Source: Hacker News Title: OpenAI adds MCP support to Agents SDK Feedly Summary: Comments AI Summary and Description: Yes Summary: The Model Context Protocol (MCP) is a standardized protocol designed to enhance how applications provide context to Large Language Models (LLMs). By facilitating connections between LLMs and various data sources or tools,…
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The Register: Schneider Electric pumps $700M into US ops as AI datacenter demand surges
Source URL: https://www.theregister.com/2025/03/26/schneider_electric_ai_investment/ Source: The Register Title: Schneider Electric pumps $700M into US ops as AI datacenter demand surges Feedly Summary: Meanwhile, Apple is lining up ‘$1B’ of Nvidia Blackwell Ultra kit Schneider Electric plans to spend $700 million through 2027 to expand its US operations and bolster the supply of its power equipment necessary…
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Cloud Blog: Anyscale powers AI compute for any workload using Google Compute Engine
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anyscale-powers-ai-compute-for-any-workload-using-google-compute-engine/ Source: Cloud Blog Title: Anyscale powers AI compute for any workload using Google Compute Engine Feedly Summary: Over the past decade, AI has evolved at a breakneck pace, turning from a futuristic dream into a tool now accessible to everyone. One of the technologies that opened up this new era of AI…