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National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and largelanguagemodels (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.
Advancements in multimodal artificialintelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.
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The systemarchitecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Amazon Bedrock – Foundation models in Amazon Bedrock use the labels detected by Amazon Rekognition to generate product descriptions. This could be any database of your choice.
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