What is Machine Learning? Definition, Types, Applications Depending on the nature of the business problem, machine learning algorithms can incorporate natural language understanding capabilities, such as recurrent neural networks or transformers that are designed for NLP tasks. Additionally, boosting algorithms can be used to optimize decision tree models. Unsupervised machine learning algorithms don’t require data to be labeled. He holds a PhD in machine learning from the University of Illinois at Urbana-Champaign and has more than 12 years of industry experience. The difference between machine learning and AI is that machine learning represents one of – but not the only – precursors to creating a narrow AI. Specifically, machine learning […]

“Architects may become a thing of the past” says ChatGPT In summary, incorporating a knowledge base into an AI-based chatbot system brings numerous benefits. It provides access to comprehensive information, improves response accuracy, and ensures consistency in responses. This allows chatbots to tailor responses to individual users, providing a more engaging and personalised conversational experience. As the knowledge base grows, chatbots can access and retrieve information faster, enabling them to handle higher volumes of user inquiries without sacrificing response time or accuracy. Dialog management plays a vital role in the operational mechanics of AI-based chatbots. It involves managing conversation context, recognizing user intents, extracting entities, maintaining dialog state, generating contextually […]