Tag: machine learning model
-
The Cloudflare Blog: Cloudy Summarizations of Email Detections: Beta Announcement
Source URL: https://blog.cloudflare.com/cloudy-driven-email-security-summaries/ Source: The Cloudflare Blog Title: Cloudy Summarizations of Email Detections: Beta Announcement Feedly Summary: We’re now leveraging our internal LLM, Cloudy, to generate automated summaries within our Email Security product, helping SOC teams better understand what’s happening within flagged messages. AI Summary and Description: Yes Summary: The text outlines Cloudflare’s initiative to…
-
The Register: Microsoft unveils home-made ML models amid OpenAI negotiations
Source URL: https://www.theregister.com/2025/08/28/microsoft_unveils_housemade_models_amid/ Source: The Register Title: Microsoft unveils home-made ML models amid OpenAI negotiations Feedly Summary: Microsoft AI honcho insists partnership with Sam Altman’s brainbox behemoth is alive and well Microsoft has introduced two home-grown machine learning models, potentially complicating negotiations with its current favored model supplier, OpenAI.… AI Summary and Description: Yes Summary:…
-
The Register: Anthropic teases Claude for Chrome: Don’t try this at home
Source URL: https://www.theregister.com/2025/08/26/anthropic_claude_chrome_warnings/ Source: The Register Title: Anthropic teases Claude for Chrome: Don’t try this at home Feedly Summary: AI am inevitable, AI firm argues Anthropic is now offering a research preview of Claude for Chrome, a browser extension that enables the firm’s machine learning model to automate web browsing.… AI Summary and Description: Yes…
-
Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…
-
Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs
Source URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…
-
Tomasz Tunguz: Hidden Technical Debt in AI
Source URL: https://www.tomtunguz.com/hidden-technical-debt-in-ai/ Source: Tomasz Tunguz Title: Hidden Technical Debt in AI Feedly Summary: That little black box in the middle is machine learning code. I remember reading Google’s 2015 Hidden Technical Debt in ML paper & thinking how little of a machine learning application was actual machine learning. The vast majority was infrastructure, data…