Machine learning

Machine learning is a type of artificial intelligence that allows computer systems to learn and get better from experience and data without being directly programmed.

In chatbots and virtual assistants, machine learning is important for creating more natural, intelligent conversations. Some key uses include:

• Understanding what people say or type
• Seeing behind the meaning, intent, and important details
• Choosing the right responses for a conversation
• Learning from past conversations to improve future ones
• Responding in a human-like way
• Adapting responses style to each person

Machine learning models are first trained on huge datasets of sample conversations and language inputs/outputs. Over many versions, the models improve at accurately mapping new inputs (what people say) to the appropriate responses.

Once trained, machine learning allows chatbots to dynamically understand and respond to user inputs based on learned patterns and context, rather than just following fixed rules.

The responses can factor in conversation history, user preferences, and other variables to sound more in tune with context and more natural overall.

With more data over time, they continue adapting and become more accurate through incremental learning.

Yet, since machine learning models can produce biases — human oversight remains very important.

Tags: Chatbots