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An ensemble model is a machine-learning approach where multiple models work together to make better predictions.

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Knowledge graphs in ML enable effective data governance by organizing, connecting data, providing context, and fostering intelligent insights for decision-making.

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A transactional chatbot, also known as a task-oriented or goal-oriented chatbot, is a specialized form of artificial intelligence software designed with a clear purpose – to help users achieve a specific goal or complete a specific task.

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Natural language processing is a branch of AI that enables computers to understand and interpret text and spoken words, similar to how humans do.

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Supervised learning is a machine learning approach where a model is trained using labeled data to make predictions or classify new, unlabeled data.

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The finance industry has embraced generative AI and is extensively harnessing its power as an invaluable tool for its operations.

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Transfer learning is a machine learning approach that involves utilizing knowledge acquired from one task to improve performance on a different but related task.

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A domain-specific language model constitutes a specialized subset of large language models (LLMs), dedicated to producing highly accurate results within a particular domain.

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The sea of AI models available can be overwhelming, but understanding these models and choosing the right one is key to harnessing the full potential of AI for your specific application.

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Generative AI in healthcare refers to the application of generative AI techniques and models in various aspects of the healthcare industry.

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