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Natural Language Processing (NLP) Engineer: Responsibilities & Roadmap

Unite.AI

Natural Language Processing , commonly referred to as NLP, is a field at the intersection of computer science, artificial intelligence, and linguistics. It focuses on enabling computers to understand, interpret, and generate human language.

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Natural Language Processing Examples: 5 Ways We Interact Daily

Defined.ai blog

That’s the power of Natural Language Processing (NLP) at work. In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. What is Natural Language Processing?

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Continual Learning: Methods and Application

The MLOps Blog

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

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AI Lie Detectors: Breaking Down Trust or Building Better Bonds?

Unite.AI

AI-powered lie detection systems analyze data using machine learning , Natural Language Processing (NLP) , facial recognition , and voice stress analysis. These systems employ machine learning, natural language processing (NLP), facial recognition, and voice stress analysis.

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Simplify continuous learning of Amazon Comprehend custom models using Comprehend flywheel

AWS Machine Learning Blog

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

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Digital Humans Are Not Just AI with a Face

Unite.AI

With advancements in natural language processing, emotion recognition, and machine learning, these entities are now capable of performing complex tasks, making decisions, and interacting in emotionally intelligent ways. This fosters a more natural interaction, building trust and connection with the user.

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AI & Big Data Expo: Ethical AI integration and future trends

AI News

A key challenge she encounters is misunderstandings around what AI truly means – many conflate it solely with chatbots like ChatGPT rather than appreciating the full breadth of machine learning, neural networks, natural language processing, and more that enable today’s AI.

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