Experimental News Clipping Site

Tag: scalability

  • Hacker News: OpenAI uses open source Ory to authenticate over 400M weekly active users

    —

    by

    Kurt Seifried
    in

    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…

  • Hacker News: Show HN: New Agentic AI Framework in CNCF

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…

  • Hacker News: Show HN: New Agentic AI Framework in CNCF

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Colossus under the hood: How we deliver SSD performance at HDD prices

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/how-colossus-optimizes-data-placement-for-performance/ Source: Cloud Blog Title: Colossus under the hood: How we deliver SSD performance at HDD prices Feedly Summary: From YouTube and Gmail to BigQuery and Cloud Storage, almost all of Google’s products depend on Colossus, our foundational distributed storage system. As Google’s universal storage platform, Colossus achieves throughput that rivals or exceeds…

  • Cloud Blog: Accelerating mainframe modernization with Google Cloud Dual Run and mLogica

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/mlogica-and-google-cloud-partner-on-mainframe-modernization/ Source: Cloud Blog Title: Accelerating mainframe modernization with Google Cloud Dual Run and mLogica Feedly Summary: Mainframe modernization is no longer a question of if, but how, with organizations seeking ways to accelerate modernization while also minimizing costs and reducing risks. Today, Google Cloud and mLogica announced a strategic partnership focused on…

  • Hacker News: Show HN: New Agentic AI Framework in CNCF

    —

    by

    Kurt Seifried
    in

    Source URL: https://github.com/dapr/dapr-agents Source: Hacker News Title: Show HN: New Agentic AI Framework in CNCF Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Dapr Agents, a developer framework for building scalable AI agent systems that leverage Large Language Models (LLMs). It emphasizes features such as resilience, efficient deployment on Kubernetes, inter-agent…

  • Cloud Blog: Anyscale powers AI compute for any workload using Google Compute Engine

    —

    by

    Kurt Seifried
    in

    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…

  • Cloud Blog: Build gen AI agents using Google Cloud databases

    —

    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/databases/learn-how-to-connect-agents-to-google-cloud-databases/ Source: Cloud Blog Title: Build gen AI agents using Google Cloud databases Feedly Summary: As enterprises build generative AI agents to strengthen their security posture or improve their customer experience, they need access to real-time data. Because most business critical and real-time data is stored and processed in databases, you need ways…