Building custom model provider for Strands Agents with LLMs hosted on SageMaker AI endpoints
Organizations increasingly deploy custom large language models (LLMs) on Amazon SageMaker AI […]
Read moreCategory: Machine learning
Drive organizational growth with Amazon Lex multi-developer CI/CD pipeline
As your conversational AI initiatives evolve, developing Amazon Lex assistants becomes increasingly […]
Read more
How Ricoh built a scalable intelligent document processing solution on AWS
This post is cowritten by Jeremy Jacobson and Rado Fulek from Ricoh. […]
Read more
Unlock powerful call center analytics with Amazon Nova foundation models
Call center analytics play a crucial role in improving customer experience and […]
Read more
Embed Amazon Quick Suite chat agents in enterprise applications
Organizations can face two critical challenges with conversational AI. First, users need […]
Read more
Building a scalable virtual try-on solution using Amazon Nova on AWS: part 1
In this first post in a two-part series, we examine how retailers […]
Read more
How Tines enhances security analysis with Amazon Quick Suite
Organizations face challenges in quickly detecting and responding to user account security […]
Read more
How Lendi revamped the refinance journey for its customers using agentic AI in 16 weeks using Amazon Bedrock
This post was co-written with Davesh Maheshwari from Lendi Group and Samuel […]
Read more
Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action
Large language models (LLMs) perform well on general tasks but struggle with […]
Read more
Build safe generative AI applications like a Pro: Best Practices with Amazon Bedrock Guardrails
Are you struggling to balance generative AI safety with accuracy, performance, and […]
Read more