Natural language processing (NLP) is a subset of AI that helps computers understand, interpret, and generate human language. It teaches computers to understand and talk like humans do, similar to how we interact with virtual assistants like Siri or Alexa. NLP allows machines to read text, trans...
Evaluate the concepts of AI, machine learning, and deep learning by comparing their definitions, applications, and interconnections. Evaluate the effectiveness of different AI algorithms in solving specific real-world problems by accurately identifying and justifying the most appropriate algorithm for a giv...
Much of today’s NLP techniques select a sequence of words based on their probability of satisfying a goal, such as summarization, question and answering, or translation, said Daniel Mankowitz, a staff research scientist at DeepMind, a Google subsidiary that conducts research on artificial intelligen...
In truth, the possibilities are endless! Here are some of the problems that engineers are solving with deep learning today: Natural Language Processing (NLP): we can use deep learning to help computers better understand human languages. Chatbots such as ChatGPT, digital assistants such as Siri,...
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The article also provides a broad overview of the main domains in the AI-ML field, encompassing both generative and non-generative (traditional) AI. Thereby serving as a primer to the other six review articles in this series that describe the details about statistics, regulations, bias, ethical...
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Gone are the days of clunky chatbots that barely understand “yes” or “no”. Today's AI-powered chatbots are sophisticated conversationalists who can handle complex queries and even crack jokes. Beyond FAQ: Intelligent Conversations Modern chatbots use NLP to understand context and intent, no...
Explore key AI subfields:Natural Language Processing (NLP), Computer Vision, and Knowledge Representation Natural Language Processing (NLP) Basics Text preprocessing techniques liketokenization, stemming, and lemmatization Representation techniques such asBag-of-Words (BoW) and TF-IDF ...
Enhanced user experience: AI algorithms can analyze user behavior and preferences, allowing for the creation of more personalized and user-friendly apps. Natural language processing: NLP enables the platform to understand and interpret user requirements more accurately, streamlining the development process....