AWS Machine Learning Blog

Category: AWS Amplify

Build a FinOps agent using HAQM Bedrock with multi-agent capability and HAQM Nova as the foundation model

Build a FinOps agent using HAQM Bedrock with multi-agent capability and HAQM Nova as the foundation model

In this post, we use the multi-agent feature of HAQM Bedrock to demonstrate a powerful and innovative approach to AWS cost management. By using the advanced capabilities of HAQM Nova FMs, we’ve developed a solution that showcases how AI-driven agents can revolutionize the way organizations analyze, optimize, and manage their AWS costs.

Virtual Meteorologist Featured Image

Building a virtual meteorologist using HAQM Bedrock Agents

In this post, we present a streamlined approach to deploying an AI-powered agent by combining HAQM Bedrock Agents and a foundation model (FM). We guide you through the process of configuring the agent and implementing the specific logic required for the virtual meteorologist to provide accurate weather-related responses.

Embodied AI Chess with HAQM Bedrock

In this post, we demonstrate Embodied AI Chess with HAQM Bedrock, bringing a new dimension to traditional chess through generative AI capabilities. Our setup features a smart chess board that can detect moves in real time, paired with two robotic arms executing those moves. Each arm is controlled by different FMs—base or custom. This physical implementation allows you to observe and experiment with how different generative AI models approach complex gaming strategies in real-world chess matches.

Revolutionize trip planning with HAQM Bedrock and HAQM Location Service

In this post, we show you how to build a generative AI-powered trip-planning service that revolutionizes the way travelers discover and explore destinations. By using advanced AI technology and HAQM Location Service, the trip planner lets users translate inspiration into personalized travel itineraries. This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services.

Deploy a serverless web application to edit images using HAQM Bedrock

In this post, we explore a sample solution that you can use to deploy an image editing application by using AWS serverless services and generative AI services. We use HAQM Bedrock and an HAQM Titan FM that allow you to edit images by using prompts.

Generative AI-powered American Sign Language avatars

GenASL: Generative AI-powered American Sign Language avatars

In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos. GenASL is a solution that translates speech or text into expressive ASL avatar animations, bridging the gap between spoken and written language and sign language.

Enhance your media search experience using HAQM Q Business and HAQM Transcribe

In today’s digital landscape, the demand for audio and video content is skyrocketing. Organizations are increasingly using media to engage with their audiences in innovative ways. From product documentation in video format to podcasts replacing traditional blog posts, content creators are exploring diverse channels to reach a wider audience. The rise of virtual workplaces has […]

Build and train computer vision models to detect car positions in images using HAQM SageMaker and HAQM Rekognition

Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. Use cases range from self-driving cars, content moderation on social media platforms, cancer detection, and automated defect detection. HAQM Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, […]

Creating an end-to-end application for orchestrating custom deep learning HPO, training, and inference using AWS Step Functions

HAQM SageMaker hyperparameter tuning provides a built-in solution for scalable training and hyperparameter optimization (HPO). However, for some applications (such as those with a preference of different HPO libraries or customized HPO features), we need custom machine learning (ML) solutions that allow retraining and HPO. This post offers a step-by-step guide to build a custom deep […]