AI Natural Language Processing System Architecture 
APRIL 23, 2025
National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.
AWS Machine Learning Blog
MARCH 5, 2025
In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Specifically, BMW uses Amazon Bedrock Agents to make remediating (partial) service outages quicker by speeding up the otherwise cumbersome and time-consuming process of root cause analysis (RCA).
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O'Reilly Media
NOVEMBER 19, 2024
One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. LLMs only provide one piece of the AI puzzle.
AWS Machine Learning Blog
MARCH 13, 2025
The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.
AWS Machine Learning Blog
MARCH 10, 2025
Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. These operational inefficiencies meant that we had to revisit our solution architecture. Enter Amazon Bedrock Knowledge Bases.
AWS Machine Learning Blog
NOVEMBER 24, 2023
This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. In this post, we dive into how Amazon Bedrock is transforming the product description generation process, empowering e-retailers to efficiently scale their businesses while conserving valuable time and resources.
AWS Machine Learning Blog
FEBRUARY 19, 2025
Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. FMs are probabilistic in nature and produce a range of outcomes. This is where the combination of generative AI and Automated Reasoning come into play. For instance: Scenario A $1.5M
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