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The Role of Natural Language Processing (NLP) in Modern Chatbots

Analytics Vidhya

Introduction Natural Language Processing (NLP) is the process through which a computer understands natural language. The recent progress in NLP forms the foundation of the new generation of generative AI chatbots. NLP architecture has a multifaceted role in the modern chatbot.

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Natural Language Processing: Bridging Human Communication with AI

KDnuggets

The post highlights real-world examples of NLP use cases across industries. It also covers NLP's objectives, challenges, and latest research developments.

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Beyond the Hype: A Pragmatic  Approach to Evaluating  Generative AI Suitability 

insideBIGDATA

In this contributed article, consultant and thought leader Richard Shan, believes that generative AI holds immense potential to transform information technology, offering innovative solutions for content generation, programming assistance, and natural language processing.

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An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

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Knowledge graphs and LLMs: An integration to transform natural language processing

Data Science Dojo

Knowledge graphs and LLMs are the building blocks of the most recent advancements happening in the world of artificial intelligence (AI). Combining knowledge graphs (KGs) and LLMs produces a system that has access to a vast network of factual information and can understand complex language. What are large language models (LLMs)?

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The Complete Collection of Data Science Books – Part 2

KDnuggets

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

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Video Highlights: Attention Is All You Need – Paper Explained

insideBIGDATA

The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond. Transformers are the basis of the large language models (LLMs) we're seeing today. This paper is a major turning point in deep learning research.