Text-to-image basics with Amazon Nova Canvas
AI image generation has emerged as one of the most transformative technologies in recent years, revolutionizing how you create and interact with visual content. Amazon Nova Canvas is a generative …
Real-world applications of Amazon Nova Canvas for interior design and product photography
As AI image generation becomes increasingly central to modern business workflows, organizations are seeking practical ways to implement this technology for specific industry challenges. Although the potential of AI image …
Part 3: Building an AI-powered assistant for investment research with multi-agent collaboration in Amazon Bedrock and Amazon Bedrock Data Automation
In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings …
A generative AI prototype with Amazon Bedrock transforms life sciences and the genome analysis process
It takes biopharma companies over 10 years, at a cost of over $2 billion and with a failure rate of over 90%, to deliver a new drug to patients. The …
Gemma 3 27B model now available on Amazon Bedrock Marketplace and Amazon SageMaker JumpStart
We are excited to announce the availability of Gemma 3 27B Instruct models through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, developers and data scientists can now …
10 tips for 10 years of Google Photos
Google Photos is turning 10! To celebrate, here are some favorite tips, tricks and features.
Building a multimodal RAG based application using Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases
Organizations today deal with vast amounts of unstructured data in various formats including documents, images, audio files, and video files. Often these documents are quite large, creating significant challenges such …
Tailoring foundation models for your business needs: A comprehensive guide to RAG, fine-tuning, and hybrid approaches
Foundation models (FMs) have revolutionised AI capabilities, but adopting them for specific business needs can be challenging. Organizations often struggle with balancing model performance, cost-efficiency, and the need for domain-specific …
Highlights from the Dialogues stage at I/O 2025
The Dialogues stage at Google I/O 2025 brought together Google leaders and visionaries.
How Rufus doubled their inference speed and handled Prime Day traffic with AWS AI chips and parallel decoding
Large language models (LLMs) have revolutionized the way we interact with technology, but their widespread adoption has been blocked by high inference latency, limited throughput, and high costs associated with …