Next-generation learning experience using Amazon Bedrock and Anthropic’s Claude: Innovation from Classworks

This post is co-written with Jerry Henley, Hans Buchheim and Roy Gunter from Classworks. Classworks is an online teacher and student platform that includes academic screening, progress monitoring, and specially designed instruction for reading and math for grades K–12. Classworks’s unique ability to ingest student assessment data from various sources, analyze it, and automatically deliver … Read more

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? Generating synthetic data can provide a robust solution, especially when real-world data is scarce or sensitive. For instance, when developing a medical search engine, obtaining a large dataset of real user queries and relevant documents is often infeasible … Read more

Boost post-call analytics with Amazon Q in QuickSight

In today’s customer-centric business world, providing exceptional customer service is crucial for success. Contact centers play a vital role in shaping customer experiences, and analyzing post-call interactions can provide valuable insights to improve agent performance, identify areas for improvement, and enhance overall customer satisfaction. Amazon Web Services (AWS) has AI and generative AI solutions that … Read more

Create a next generation chat assistant with Amazon Bedrock, Amazon Connect, Amazon Lex, LangChain, and WhatsApp

This post is co-written with Harrison Chase, Erick Friis and Linda Ye from LangChain. Generative AI is set to revolutionize user experiences over the next few years. A crucial step in that journey involves bringing in AI assistants that intelligently use tools to help customers navigate the digital landscape. In this post, we demonstrate how … Read more

Generative AI foundation model training on Amazon SageMaker

To stay competitive, businesses across industries use foundation models (FMs) to transform their applications. Although FMs offer impressive out-of-the-box capabilities, achieving a true competitive edge often requires deep model customization through pre-training or fine-tuning. However, these approaches demand advanced AI expertise, high performance compute, fast storage access and can be prohibitively expensive for many organizations. … Read more

Automate fine-tuning of Llama 3.x models with the new visual designer for Amazon SageMaker Pipelines

You can now create an end-to-end workflow to train, fine tune, evaluate, register, and deploy generative AI models with the visual designer for Amazon SageMaker Pipelines. SageMaker Pipelines is a serverless workflow orchestration service purpose-built for foundation model operations (FMOps). It accelerates your generative AI journey from prototype to production because you don’t need to … Read more

Implement Amazon SageMaker domain cross-Region disaster recovery using custom Amazon EFS instances

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Extensively used by data scientists and ML engineers across various industries, this robust tool provides high availability and uninterrupted access for its users. When working with SageMaker, … Read more

Amazon Bedrock Custom Model Import now generally available

Today, we’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Whether leveraging fine-tuned models like Meta Llama, Mistral Mixtral, and IBM Granite, or developing proprietary models based on popular … Read more

Deploy a serverless web application to edit images using Amazon Bedrock

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 … Read more

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

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 … Read more

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

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 … Read more

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

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 … Read more

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

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 … Read more

Use Amazon SageMaker Studio with a custom file system in Amazon EFS

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 … Read more

Summarize call transcriptions securely with Amazon Transcribe and Amazon Bedrock Guardrails

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 … Read more

How DPG Media uses Amazon Bedrock and Amazon Transcribe to enhance video metadata with AI-powered pipelines

This post was co-written with Lucas Desard, Tom Lauwers, and Sam Landuydt from DPG Media. DPG Media is a leading media company in Benelux operating multiple online platforms and TV channels. DPG Media’s VTM GO platform alone offers over 500 days of non-stop content. With a growing library of long-form video content, DPG Media recognizes … Read more

How SailPoint uses Anthropic’s Claude on Amazon Bedrock to automatically generate TypeScript code for SaaS connectors

Generative AI is revolutionizing the way developers approach programming by providing intelligent assistance and automation throughout the coding process. With the power of advanced language models and machine learning (ML) algorithms, generative AI can understand the context and intent behind a programmer’s code, offering valuable suggestions, completing code snippets, and even generating entire functions or … Read more

Map Earth’s vegetation in under 20 minutes with Amazon SageMaker

In today’s rapidly changing world, monitoring the health of our planet’s vegetation is more critical than ever. Vegetation plays a crucial role in maintaining an ecological balance, providing sustenance, and acting as a carbon sink. Traditionally, monitoring vegetation health has been a daunting task. Methods such as field surveys and manual satellite data analysis are … Read more

Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

Intact Financial Corporation is the leading provider of property and casualty insurance in Canada, a leading provider of global specialty insurance, and a leader in commercial lines in the UK and Ireland. Intact faced a challenge in managing its vast network of customer support call centers and required a workable solution within 6 months and long-term … Read more

Accelerate migration portfolio assessment using Amazon Bedrock

Conducting assessments on application portfolios that need to be migrated to the cloud can be a lengthy endeavor. Despite the existence of AWS Application Discovery Service or the presence of some form of configuration management database (CMDB), customers still face many challenges. These include time taken for follow-up discussions with application teams to review outputs … Read more

Improve public speaking skills using a generative AI-based virtual assistant with Amazon Bedrock

Public speaking is a critical skill in today’s world, whether it’s for professional presentations, academic settings, or personal growth. By practicing it regularly, individuals can build confidence, manage anxiety in a healthy way, and develop effective communication skills leading to successful public speaking engagements. Now, with the advent of large language models (LLMs), you can … Read more

Bria 2.3, Bria 2.2 HD, and Bria 2.3 Fast are now available in Amazon SageMaker JumpStart

This post is co-written with Bar Fingerman from Bria. We are thrilled to announce that Bria 2.3, 2.2 HD, and 2.3 Fast text-to-image foundation models (FMs) from Bria AI are now available in Amazon SageMaker JumpStart. Bria models are trained exclusively on commercial-grade licensed data, providing high standards of safety and compliance with full legal … Read more

Introducing SageMaker Core: A new object-oriented Python SDK for Amazon SageMaker

We’re excited to announce the release of SageMaker Core, a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. This new SDK streamlines data processing, training, and inference and features resource chaining, intelligent defaults, and enhanced logging capabilities. With SageMaker Core, managing ML workloads on … Read more

Create a data labeling project with Amazon SageMaker Ground Truth Plus

Amazon SageMaker Ground Truth is a powerful data labeling service offered by AWS that provides a comprehensive and scalable platform for labeling various types of data, including text, images, videos, and 3D point clouds, using a diverse workforce of human annotators. In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative … Read more

Create a multimodal chatbot tailored to your unique dataset with Amazon Bedrock FMs

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer … Read more

Design secure generative AI application workflows with Amazon Verified Permissions and Amazon Bedrock Agents

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. They orchestrate and analyze the tasks and break them down into the correct logical sequences using the reasoning abilities of the foundation model (FM). Agents automatically call the necessary APIs to interact with the company systems and … Read more

Boost productivity by using AI in cloud operational health management

Modern organizations increasingly depend on robust cloud infrastructure to provide business continuity and operational efficiency. Operational health events – including operational issues, software lifecycle notifications, and more – serve as critical inputs to cloud operations management. Inefficiencies in handling these events can lead to unplanned downtime, unnecessary costs, and revenue loss for organizations. However, managing … Read more

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents

Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based workflows with the help of large language models (LLMs) as their reasoning engine. These agentic workflows decompose the natural language query-based tasks into multiple actionable steps with iterative feedback loops and self-reflection to produce the final result using tools and … Read more

Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes. Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. Generative AI solutions often use Retrieval Augmented Generation (RAG) architectures, which augment … Read more