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A Guide to LLMOps: Large Language Model Operations

Heartbeat

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

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Data Intelligence empowers informed decisions

Pickl AI

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. and ‘‘What is the difference between Data Intelligence and Artificial Intelligence ?’. Look at the table below.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

He is focusing on system architecture, application platforms, and modernization for the cabinet. The contact center is powered by Amazon Connect, and Max, the virtual agent, is powered by Amazon Lex and the AWS QnABot solution. Amazon Connect directs some incoming calls to the virtual agent (Max) by identifying the caller number.

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

In this section, we briefly introduce the system architecture. About the Authors Lana Zhang is a Senior Solutions Architect at AWS WWSO AI Services team, specializing in AI and ML for Content Moderation, Computer Vision, Natural Language Processing and Generative AI.

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How Amazon Shopping uses Amazon Rekognition Content Moderation to review harmful images in product reviews

AWS Machine Learning Blog

System complexity – The architecture complexity requires investments in MLOps to ensure the ML inference process scales efficiently to meet the growing content submission traffic. With the high accuracy of Amazon Rekognition, the team has been able to automate more decisions, save costs, and simplify their system architecture.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

The system architecture comprises several core components: UI portal – This is the user interface (UI) designed for vendors to upload product images. Amazon Bedrock: NLP text generation – Amazon Bedrock uses the Amazon Titan natural language processing (NLP) model to generate textual descriptions.

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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and generative AI. He has over a decade of industry experience in software development and system architecture. She helps customers to build, train and deploy large machine learning models at scale.

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