Industries updates

Generative AI adoption among various industries is revolutionizing different types of applications, including image editing. Image editing is used in various sectors, such as graphic designing, marketing, and social media. Users rely on specialized tools for editing images. Building a custom solution for this task can be complex. However, by using various AWS services, you …

Deploy a serverless web application to edit images using Amazon Bedrock Read More »

Many organizations are building generative AI applications powered by large language models (LLMs) to boost productivity and build differentiated experiences. These LLMs are large and complex and deploying them requires powerful computing resources and results in high inference costs. For businesses and researchers with limited resources, the high inference costs of generative AI models can …

Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications Read More »

In Part 1 of this series, we explored best practices for creating accurate and reliable agents using Amazon Bedrock Agents. Amazon Bedrock Agents help you accelerate generative AI application development by orchestrating multistep tasks. Agents use the reasoning capability of foundation models (FMs) to create a plan that decomposes the problem into multiple steps. The …

Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2 Read More »

Google’s Open Buildings 2.5D Temporal Dataset is helping to fill a major gap in data for population and density in the developing world.

Google’s Be Internet Legends programme launches a new school assembly teaching about AI literacy and online safety.

This post is co-written Rodrigo Amaral, Ashwin Murthy and Meghan Stronach from Qualcomm. In this post, we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub. This seamless cloud-to-edge AI development experience will enable developers to create optimized, highly performant, and custom managed machine …

Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub Read More »

NotebookLM is an AI-powered tool for more deeply understanding something — we asked a Google expert to give us a few tips on how to use it.

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. During re:Invent 2023, we launched AWS HealthScribe, a HIPAA eligible service that empowers healthcare software vendors to build their clinical applications to use speech recognition and generative AI to automatically create preliminary clinician documentation. In …

Using Amazon Q Business with AWS HealthScribe to gain insights from patient consultations Read More »

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. SageMaker Studio offers a suite of integrated development environments (IDEs), which includes JupyterLab, Code Editor, as well as RStudio. Data scientists and ML engineers can spin up SageMaker Studio private and shared spaces, which are used to manage the storage …

Use Amazon SageMaker Studio with a custom file system in Amazon EFS Read More »

Given the volume of meetings, interviews, and customer interactions in modern business environments, audio recordings play a crucial role in capturing valuable information. Manually transcribing and summarizing these recordings can be a time-consuming and tedious task. Fortunately, advancements in generative AI and automatic speech recognition (ASR) have paved the way for automated solutions that can …

Summarize call transcriptions securely with Amazon Transcribe and Amazon Bedrock Guardrails Read More »