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Revealing the Machine Learning Algorithms in AI Chatbots #AIAlgorithms

Chatbots are rapidly evolving and revolutionizing how we communicate with technology, making interactions with machines more human-like. They operate 24/7, handle millions of requests simultaneously, and are now indispensable in various sectors. The advancement of chatbots is fueled by open-source programming frameworks, abundant data, and increased processing power. They are being adopted across industries for tasks such as customer support, social networking, e-commerce, and banking systems. Chatbots are designed for specific tasks and undergo rigorous testing before launch to ensure human-like interaction.

AI chatbots perform repetitive tasks based on predetermined variables and machine learning algorithms. They communicate with users through voice messages or text, with advanced chatbots using deep learning, machine learning, and NLP for a more human-like experience. Algorithms like Naive Bayes help categorize text and determine user intent for accurate responses. Support Vector Machines excel in text data processing, categorizing documents, and determining related functions, making them popular in chatbot development. NLP is crucial for chatbots to process and understand user input effectively, allowing them to seamlessly interact with users.

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Source link: https://www.techiexpert.com/unveiling-the-machine-learning-algorithms-behind-modern-ai-chatbots/

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