Going beyond AI assistants: Examples from Amazon.com reinventing industries with generative AI

Favorite Generative AI revolutionizes business operations through various applications, including conversational assistants such as Amazon’s Rufus and Amazon Seller Assistant. Additionally, some of the most impactful generative AI applications operate autonomously behind the scenes, an essential capability that empowers enterprises to transform their operations, data processing, and content creation at

Read More
Shared by AWS Machine Learning May 31, 2025

Deploy Amazon SageMaker Projects with Terraform Cloud

Favorite Amazon SageMaker Projects empower data scientists to self-serve Amazon Web Services (AWS) tooling and infrastructure to organize all entities of the machine learning (ML) lifecycle, and further enable organizations to standardize and constrain the resources available to their data science teams in pre-packaged templates. For AWS customers using Terraform to

Read More
Shared by AWS Machine Learning May 31, 2025

Text-to-image basics with Amazon Nova Canvas

Favorite 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 model in the suite of Amazon Nova creative models that enables you to generate realistic and creative images from

Read More
Shared by AWS Machine Learning May 30, 2025

Create an agentic RAG application for advanced knowledge discovery with LlamaIndex, and Mistral in Amazon Bedrock

Favorite Agentic Retrieval Augmented Generation (RAG) applications represent an advanced approach in AI that integrates foundation models (FMs) with external knowledge retrieval and autonomous agent capabilities. These systems dynamically access and process information, break down complex tasks, use external tools, apply reasoning, and adapt to various contexts. They go beyond

Read More
Shared by AWS Machine Learning May 30, 2025

Revolutionizing earth observation with geospatial foundation models on AWS

Favorite Emerging transformer-based vision models for geospatial data—also called geospatial foundation models (GeoFMs)—offer a new and powerful technology for mapping the earth’s surface at a continental scale, providing stakeholders with the tooling to detect and monitor surface-level ecosystem conditions such as forest degradation, natural disaster impact, crop yield, and many

Read More
Shared by AWS Machine Learning May 30, 2025

How Rufus doubled their inference speed and handled Prime Day traffic with AWS AI chips and parallel decoding

Favorite 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 text generation. These inefficiencies are particularly pronounced during high-demand events like Amazon Prime Day, where systems like Rufus—the Amazon

Read More
Shared by AWS Machine Learning May 29, 2025

Tailoring foundation models for your business needs: A comprehensive guide to RAG, fine-tuning, and hybrid approaches

Favorite 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 knowledge. This blog post explores three powerful techniques for tailoring FMs to your unique requirements: Retrieval Augmented Generation (RAG),

Read More
Shared by AWS Machine Learning May 29, 2025

Building a multimodal RAG based application using Amazon Bedrock Data Automation and Amazon Bedrock Knowledge Bases

Favorite 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 as slower processing times and increased storage costs. Extracting meaningful insights from these diverse formats in the past required

Read More
Shared by AWS Machine Learning May 29, 2025