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​[[{“value”:” This post was written with Dian Xu and Joel Hawkins of Rocket Companies. Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home”. With the current housing shortage and affordability concerns, Rocket simplifies the homeownership process through an intuitive and… Read More »How Rocket Companies modernized their data science solution on AWS Dian Xu, Joel Hawkins AWS Machine Learning Blog

​[[{“value”:” Providing effective multilingual customer support in global businesses presents significant operational challenges. Through collaboration between AWS and DXC Technology, we’ve developed a scalable voice-to-voice (V2V) translation prototype that transforms how contact centers handle multi-lingual customer interactions. In this post, we discuss how AWS and… Read More »AWS and DXC collaborate to deliver customizable, near real-time voice-to-voice translation capabilities for Amazon Connect Milos Cosic AWS Machine Learning Blog

​[[{“value”:” Generative AI is revolutionizing enterprise automation, enabling AI systems to understand context, make decisions, and act independently. Generative AI foundation models (FMs), with their ability to understand context and make decisions, are becoming powerful partners in solving sophisticated business problems. At AWS, we’re using… Read More »Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock Raju Rangan AWS Machine Learning Blog

​[[{“value”:” Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucination—producing responses that sound convincing but are factually incorrect. While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed… Read More »Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases Dheer Toprani AWS Machine Learning Blog

​[[{“value”:” Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. It is a continuous process to keep the fine-tuned model accurate and effective in changing environments, to adapt… Read More »LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker Yunfei Bai AWS Machine Learning Blog

​[[{“value”:” Organizations need efficient ways to access and analyze their enterprise data. Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. It provides immediate, relevant information while streamlining… Read More »Maximize your file server data’s potential by using Amazon Q Business on Amazon FSx for Windows Manjunath Arakere AWS Machine Learning Blog

​Be sure to check out the previous articles in this series: •  Be sure to check out the previous articles in this series: •  Read More  

​[[{“value”:” Data is the lifeblood of modern applications, driving everything from application testing to machine learning (ML) model training and evaluation. As data demands continue to surge, the emergence of generative AI models presents an innovative solution. These large language models (LLMs), trained on expansive… Read More »Generate synthetic counterparty (CR) risk data with generative AI using Amazon Bedrock LLMs and RAG Santosh Kulkarni AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith, and Michelle Stahl from Verisk. Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. Through advanced analytics, software, research, and industry expertise… Read More »Turbocharging premium audit capabilities with the power of generative AI: Verisk’s journey toward a sophisticated conversational chat platform to enhance customer support Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith and Michelle Stahl AWS Machine Learning Blog

​[[{“value”:” American Sign Language is the third most prevalent language in the United States — but there are vastly fewer AI tools developed with ASL data than data representing the country’s most common languages, English and Spanish. NVIDIA, the American Society for Deaf Children and… Read More »It’s a Sign: AI Platform for Teaching American Sign Language Aims to Bridge Communication Gaps Michael Boone – Archives Page 1 | NVIDIA Blog