Tag: Scale

  • 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…

  • Hacker News: Sharding Pgvector

    Source URL: https://pgdog.dev/blog/sharding-pgvector Source: Hacker News Title: Sharding Pgvector Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the implementation of a sharding strategy for handling vector indices in the pgvector database, focusing specifically on large-scale embeddings. It highlights the challenges of scaling vector searches and presents an approach using two indexing…

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

    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

    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…

  • The Register: Aardvark beats groundhogs and supercomputers in weather forecasting

    Source URL: https://www.theregister.com/2025/03/26/aardvark_weather_forecast/ Source: The Register Title: Aardvark beats groundhogs and supercomputers in weather forecasting Feedly Summary: PC-size ML prediction model predicted to be as good as a super at fraction of the cost Aardvark, a novel machine learning-based weather prediction system, teases a future where supercomputers are optional for forecasting – but don’t pull…

  • Hacker News: Devs say AI crawlers dominate traffic, forcing blocks on entire countries

    Source URL: https://arstechnica.com/ai/2025/03/devs-say-ai-crawlers-dominate-traffic-forcing-blocks-on-entire-countries/ Source: Hacker News Title: Devs say AI crawlers dominate traffic, forcing blocks on entire countries Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges faced by software developers in managing aggressive AI crawler traffic that negatively affects open-source projects, leading to significant service instability and increased operational…

  • Simon Willison’s Weblog: Putting Gemini 2.5 Pro through its paces

    Source URL: https://simonwillison.net/2025/Mar/25/gemini/ Source: Simon Willison’s Weblog Title: Putting Gemini 2.5 Pro through its paces Feedly Summary: There’s a new release from Google Gemini this morning: the first in the Gemini 2.5 series. Google call it “a thinking model, designed to tackle increasingly complex problems". It’s already sat at the top of the LM Arena…

  • 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…