Tag: Simple

  • Cloud Blog: Zero-shot forecasting in BigQuery with the TimesFM foundation model

    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-ml-timesfm-models-now-in-preview/ Source: Cloud Blog Title: Zero-shot forecasting in BigQuery with the TimesFM foundation model Feedly Summary: Accurate time-series forecasting is essential for many business scenarios such as planning, supply chain management, and resource allocation. BigQuery now embeds TimesFM, a state-of-the-art pre-trained model from Google Research, enabling powerful forecasting via the simple AI.FORECAST function.…

  • Cloud Blog: Accelerate your AI workloads with the Google Cloud Managed Lustre

    Source URL: https://cloud.google.com/blog/products/storage-data-transfer/google-cloud-managed-lustre-for-ai-hpc/ Source: Cloud Blog Title: Accelerate your AI workloads with the Google Cloud Managed Lustre Feedly Summary: Today, we’re making it even easier to achieve breakthrough performance for your AI/ML workloads: Google Cloud Managed Lustre is now GA, and available in four distinct performance tiers that deliver throughput ranging from 125 MB/s, 250…

  • Cloud Blog: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gartner-magic-quadrant-for-search-and-product-discovery/ Source: Cloud Blog Title: Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Search and Product Discovery Feedly Summary: We’re thrilled to announce that Google has been named a Leader in the Gartner® Magic Quadrant™ for Search and Product Discovery. We believe this recognition affirms Google’s evolving commitment to delivering…

  • Tomasz Tunguz: The Surprising Input-to-Output Ratio of AI Models

    Source URL: https://www.tomtunguz.com/input-output-ratio/ Source: Tomasz Tunguz Title: The Surprising Input-to-Output Ratio of AI Models Feedly Summary: When you query an AI model, it gathers relevant information to generate an answer. For a while, I’ve wondered : how much information does the model need to answer a question? I thought the output would be larger, however…

  • The Cloudflare Blog: Introducing simple and secure egress policies by hostname in Cloudflare’s SASE platform

    Source URL: https://blog.cloudflare.com/egress-policies-by-hostname/ Source: The Cloudflare Blog Title: Introducing simple and secure egress policies by hostname in Cloudflare’s SASE platform Feedly Summary: Cloudflare’s SASE platform now offers egress policies by hostname, domain, content category, and application in open beta. AI Summary and Description: Yes **Summary:** Cloudflare’s Secure Access Service Edge (SASE) platform introduces egress policies,…

  • Slashdot: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find

    Source URL: https://tech.slashdot.org/story/25/07/04/1521245/simple-text-additions-can-fool-advanced-ai-reasoning-models-researchers-find Source: Slashdot Title: Simple Text Additions Can Fool Advanced AI Reasoning Models, Researchers Find Feedly Summary: AI Summary and Description: Yes Summary: The research highlights a significant vulnerability in state-of-the-art reasoning AI models through the “CatAttack” technique, which attaches irrelevant phrases to math problems, leading to higher error rates and inefficient responses.…

  • Docker: Using Gordon to Containerize Your Apps and Work with Containers

    Source URL: https://www.docker.com/blog/containerize-your-apps-with-ask-gordon/ Source: Docker Title: Using Gordon to Containerize Your Apps and Work with Containers Feedly Summary: These days, almost every tech company is looking for ways to integrate AI into their apps and workflows, and Docker is no exception. They’ve been rolling out some impressive AI capabilities across their products. This is my…