Tag: graph

  • Cloud Blog: Rice University and Google Public Sector partner to build an innovation hub in Texas

    Source URL: https://cloud.google.com/blog/topics/public-sector/rice-university-and-google-public-sector-partner-to-build-an-innovation-hub-in-texas/ Source: Cloud Blog Title: Rice University and Google Public Sector partner to build an innovation hub in Texas Feedly Summary: Rice University and Google Public Sector are partnering to launch the Rice AI Venture Accelerator (RAVA), designed to drive early-stage AI innovation and commercialization. This collaboration enables RAVA to connect AI-first startups…

  • Hacker News: LLM Workflows then Agents: Getting Started with Apache Airflow

    Source URL: https://github.com/astronomer/airflow-ai-sdk Source: Hacker News Title: LLM Workflows then Agents: Getting Started with Apache Airflow Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents an SDK for integrating large language models (LLMs) into Apache Airflow workflows. This novel approach enhances AI orchestration by providing refined task decorators that streamline calling LLMs,…

  • Slashdot: HTTPS Certificate Industry Adopts New Security Requirements

    Source URL: https://it.slashdot.org/story/25/03/31/0529220/https-certificate-industry-adopts-new-security-requirements?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: HTTPS Certificate Industry Adopts New Security Requirements Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements and requirements from the CA/Browser Forum concerning TLS certificate issuance, highlighting the necessity for improved security practices such as Multi-Perspective Issuance Corroboration (MPIC) and linting. These changes aim to…

  • 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…