Gen AI News Talk
Use custom metrics to evaluate your generative AI application with Amazon Bedrock
With Amazon Bedrock Evaluations, you can evaluate foundation models (FMs) and Retrieval Augmented Generation (RAG) systems, whether hosted on Amazon Bedrock or another model...
Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration
The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work...
Get faster and actionable AWS Trusted Advisor insights to make data-driven decisions using Amazon...
Our customers’ key strategic objectives are cost savings and building secure and resilient infrastructure. At AWS, we’re dedicated to helping you meet these critical...
WordFinder app: Harnessing generative AI on AWS for aphasia communication
In this post, we showcase how Dr. Kori Ramajoo, Dr. Sonia Brownsett, Prof. David Copland, from QARC, and Scott Harding, a person living with...
Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock
Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although...
Autonomous mortgage processing using Amazon Bedrock Data Automation and Amazon Bedrock Agents
Mortgage processing is a complex, document-heavy workflow that demands accuracy, efficiency, and compliance. Traditional mortgage operations rely on manual review, rule-based automation, and disparate...
Automate document translation and standardization with Amazon Bedrock and Amazon Translate
Multinational organizations face the complex challenge of effectively managing a workforce and operations across different countries, cultures, and languages. Maintaining consistency and alignment across...
Extend large language models powered by Amazon SageMaker AI using Model Context Protocol
Organizations implementing agents and agent-based systems often experience challenges such as implementing multiple tools, function calling, and orchestrating the workflows of the tool calling....
Amazon Bedrock Model Distillation: Boost function calling accuracy while reducing cost and latency
Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI: how to maintain high...
Insights in implementing production-ready solutions with generative AI
As generative AI revolutionizes industries, organizations are eager to harness its potential. However, the journey from production-ready solutions to full-scale implementation can present distinct...
