Industries updates

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

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 …

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

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

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 …

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

Boost post-call analytics with Amazon Q in QuickSight

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 …

Boost post-call analytics with Amazon Q in QuickSight Read More »

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

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 …

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

Generative AI foundation model training on Amazon SageMaker

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. …

Generative AI foundation model training on Amazon SageMaker Read More »

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

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 …

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

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

Amazon Bedrock Custom Model Import now generally available

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 …

Amazon Bedrock Custom Model Import now generally available Read More »

Scroll to Top