Tag: implementation

  • Cloud Blog: Optimizing image generation pipelines on Google Cloud: A practical guide

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/guide-to-optimizing-image-generation-pipelines/ Source: Cloud Blog Title: Optimizing image generation pipelines on Google Cloud: A practical guide Feedly Summary: Generative AI diffusion models such as Stable Diffusion and Flux produce stunning visuals, empowering creators across various verticals with impressive image generation capabilities. However, generating high-quality images through sophisticated pipelines can be computationally demanding, even with…

  • Schneier on Security: Implementing Cryptography in AI Systems

    Source URL: https://www.schneier.com/blog/archives/2025/02/implementing-cryptography-in-ai-systems.html Source: Schneier on Security Title: Implementing Cryptography in AI Systems Feedly Summary: Interesting research: “How to Securely Implement Cryptography in Deep Neural Networks.” Abstract: The wide adoption of deep neural networks (DNNs) raises the question of how can we equip them with a desired cryptographic functionality (e.g, to decrypt an encrypted input,…

  • The Register: ST Micro skips in, arm in arm with AWS, bearing a chip for 1.6 Tbps pluggable optics

    Source URL: https://www.theregister.com/2025/02/21/st_micro_pluggables/ Source: The Register Title: ST Micro skips in, arm in arm with AWS, bearing a chip for 1.6 Tbps pluggable optics Feedly Summary: It’s Friday. Quit the doomscrolling. Distract yourself with IT infra news Developed in collaboration with Amazon Web Services, ST Micro detailed a new photonic integrated circuit (PIC) on Thursday…

  • The Register: Euro cloud biz trials ‘server blades in a cold box’ system

    Source URL: https://www.theregister.com/2025/02/20/diggers_exoscale_liquid_cooling/ Source: The Register Title: Euro cloud biz trials ‘server blades in a cold box’ system Feedly Summary: Hot air or a 50% energy saving? Exoscale datacenter runs proof-of-concept to test veracity of Digger’s claims A1 Digital is testing liquid cooling tech for power-intensive AI servers that is claimed to save 50 percent…

  • Cloud Blog: Unlock Inference-as-a-Service with Cloud Run and Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/improve-your-gen-ai-app-velocity-with-inference-as-a-service/ Source: Cloud Blog Title: Unlock Inference-as-a-Service with Cloud Run and Vertex AI Feedly Summary: It’s no secret that large language models (LLMs) and generative AI have become a key part of the application landscape. But most foundational LLMs are consumed as a service, meaning they’re hosted and served by a third party…

  • Cloud Blog: An SRE’s guide to optimizing ML systems with MLOps pipelines

    Source URL: https://cloud.google.com/blog/products/devops-sre/applying-sre-principles-to-your-mlops-pipelines/ Source: Cloud Blog Title: An SRE’s guide to optimizing ML systems with MLOps pipelines Feedly Summary: Picture this: you’re an Site Reliability Engineer (SRE) responsible for the systems that power your company’s machine learning (ML) services. What do you do to ensure you have a reliable ML service, how do you know…

  • Hacker News: Launch HN: Confident AI (YC W25) – Open-source evaluation framework for LLM apps

    Source URL: https://news.ycombinator.com/item?id=43116633 Source: Hacker News Title: Launch HN: Confident AI (YC W25) – Open-source evaluation framework for LLM apps Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text introduces “Confident AI,” a cloud platform designed to enhance the evaluation of Large Language Models (LLMs) through its open-source package, DeepEval. This tool facilitates…