Machine Learning (ML) is a subset of artificial intelligence (AI) that enables computer systems to learn and improve from experience without being explicitly programmed. It involves the development of algorithms that allow computers to analyse data, identify patterns, and make decisions or predictions based on that data. ML algorithms are trained using large amounts of data, which enables them to recognise patterns and relationships and make decisions or predictions with increasing accuracy over time. In chatlyn, AI models built on machine learning understand guest messages in many languages, answer routine questions from the hotel's own knowledge and draft replies for the team, helping hotels respond to guest enquiries quickly and accurately.
What is machine learning?
Machine learning is a subset of artificial intelligence (AI) that enables computer systems to learn and improve from experience without being explicitly programmed. It involves the development of algorithms that allow computers to analyse data, identify patterns, and make decisions or predictions based on that data.
How does machine learning work?
Machine learning works by training algorithms on large datasets to recognise patterns and relationships within the data. These algorithms then use this learned knowledge to make predictions or decisions when presented with new, unseen data.