Proper training is crucial for chatbots in various domains to ensure accuracy, performance, and user satisfaction.
Chatbot training involves mapping out use cases, identifying user intents, grouping similar phrases, and training the bot to extract entities.
Training data quality is essential as it directly impacts the intelligence of the bot; sources include labeled datasets from tools like Rasa NLU, Dialogflow, or Microsoft Bot Framework.
Continuous training, feedback loops, context awareness, and testing with real-life interactions are key components in building smarter and more responsive chatbots.