Tag: model training
-
Cloud Blog: Google’s AI-powered next-generation global network: Built for the Gemini era
Source URL: https://cloud.google.com/blog/products/networking/google-global-network-principles-and-innovations/ Source: Cloud Blog Title: Google’s AI-powered next-generation global network: Built for the Gemini era Feedly Summary: From answering search queries, to streaming YouTube videos, to handling the most demanding cloud workloads, for over 25 years, we’ve been relentlessly pushing the boundaries of network technology, building a global infrastructure that powers Google and…
-
CSA: How IT, Security, & Data Teams Help Businesses with AI
Source URL: https://bigid.com/blog/how-information-technology-security-and-data-teams-help-with-ai/ Source: CSA Title: How IT, Security, & Data Teams Help Businesses with AI Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the critical role of data teams in enabling AI technologies, particularly large language models, to function effectively. It highlights the importance of clean and organized data for AI…
-
Google Online Security Blog: Taming the Wild West of ML: Practical Model Signing with Sigstore
Source URL: http://security.googleblog.com/2025/04/taming-wild-west-of-ml-practical-model.html Source: Google Online Security Blog Title: Taming the Wild West of ML: Practical Model Signing with Sigstore Feedly Summary: AI Summary and Description: Yes Summary: The text announces the launch of a model signing library developed by the Google Open Source Security Team in collaboration with NVIDIA and HiddenLayer, aimed at enhancing…
-
Hacker News: Every Flop Counts: Scaling a 300B LLM Without Premium GPUs
Source URL: https://arxiv.org/abs/2503.05139 Source: Hacker News Title: Every Flop Counts: Scaling a 300B LLM Without Premium GPUs Feedly Summary: Comments AI Summary and Description: Yes Summary: This technical report presents advancements in training large-scale Mixture-of-Experts (MoE) language models, namely Ling-Lite and Ling-Plus, highlighting their efficiency and comparable performance to industry benchmarks while significantly reducing training…