Whisk: Visualize and remix ideas using images and AI
Whisk is a new Google Labs experiment that lets you prompt using images for a fast and fun creative process.
Whisk: Visualize and remix ideas using images and AI
Whisk is a new Google Labs experiment that lets you prompt using images for a fast and fun creative process.
Whisk: Visualize and remix ideas using images and AI
Whisk is a new Google Labs experiment that lets you prompt using images for a fast and fun creative process.
AWS re:Invent 2024 Highlights: Top takeaways from Swami Sivasubramanian to help customers manage generative AI at scale
We spoke with Dr. Swami Sivasubramanian, Vice President of Data and AI, shortly after AWS re:Invent 2024 to hear his impressions—and to get insights on how the latest AWS innovations help meet the real-world needs of customers as they build and scale transformative generative AI applications. Q: What made this re:Invent different? Swami Sivasubramanian: The …
AI startups can apply for our Google for Startups Cloud AI Accelerator now
Learn more about Google for Startups Accelerator: AI First program for North American startups.
Multi-tenant RAG with Amazon Bedrock Knowledge Bases
Organizations are continuously seeking ways to use their proprietary knowledge and domain expertise to gain a competitive edge. With the advent of foundation models (FMs) and their remarkable natural language processing capabilities, a new opportunity has emerged to unlock the value of their data assets. As organizations strive to deliver personalized experiences to customers using …
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How Amazon trains sequential ensemble models at scale with Amazon SageMaker Pipelines
Amazon SageMaker Pipelines includes features that allow you to streamline and automate machine learning (ML) workflows. This allows scientists and model developers to focus on model development and rapid experimentation rather than infrastructure management Pipelines offers the ability to orchestrate complex ML workflows with a simple Python SDK with the ability to visualize those workflows …
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Implementing login node load balancing in SageMaker HyperPod for enhanced multi-user experience
Amazon SageMaker HyperPod is designed to support large-scale machine learning (ML) operations, providing a robust environment for training foundation models (FMs) over extended periods. Multiple users — such as ML researchers, software engineers, data scientists, and cluster administrators — can work concurrently on the same cluster, each managing their own jobs and files without interfering …
How Clearwater Analytics is revolutionizing investment management with generative AI and Amazon SageMaker JumpStart
This post was written with Darrel Cherry, Dan Siddall, and Rany ElHousieny of Clearwater Analytics. As global trading volumes rise rapidly each year, capital markets firms are facing the need to manage large and diverse datasets to stay ahead. These datasets aren’t just expansive in volume; they’re critical in driving strategy development, enhancing execution, and …
How Twitch used agentic workflow with RAG on Amazon Bedrock to supercharge ad sales
Twitch, the world’s leading live-streaming platform, has over 105 million average monthly visitors. As part of Amazon, Twitch advertising is handled by the ad sales organization at Amazon. New ad products across diverse markets involve a complex web of announcements, training, and documentation, making it difficult for sales teams to find precise information quickly. In …
How Twitch used agentic workflow with RAG on Amazon Bedrock to supercharge ad sales Read More »