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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

Enterprise Resource Planning (ERP) systems are used by companies to manage several business functions such as accounting, sales or order management in one system. In particular, they are routinely used to store information related to customer accounts. Augmenting the LLM with Google search guarantees the most up-to-date information.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

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Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning

The following video highlights the dialogue-guided IDP system by processing an article authored by the Federal Reserve Board of Governors , discussing the collapse of Silicon Valley Bank in March 2023. AI21 Studio also provides API access to Jurassic-2 LLMs. You can also choose g5.48xlarge or p4de.24xlarge

Banking 72
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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

According to Gartner Magic Quadrant 2023, ServiceNow is one of the leading IT Service Management (ITSM) providers on the market. The workflow includes the following steps: A QnABot administrator can configure the questions using the Content Designer UI delivered by Amazon API Gateway and Amazon Simple Storage Service (Amazon S3).

Chatbots 101
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Announcing enhanced table extractions with Amazon Textract

AWS Machine Learning

Amazon Textract has a Tables feature within the AnalyzeDocument API that offers the ability to automatically extract tabular structures from any document. In such cases, custom postprocessing logic to identify such information or extract it separately from the API’s JSON output was necessary.

APIs 69
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Chatbot: Complete Guide

JivoChat

billion customer service hours of work by 2023. Improve Customer Experience Customer experience is a factor that people take into account when deciding to make a purchase or not. It’s even possible to integrate the chatbot with your social media accounts, to interact with customers there as well. JivoChat Partners: Dahi.ai