How Al Chatbots Work

Al chatbots function by processing and interpreting user input to deliver appropriate responses.

Here's a simplified breakdown of the process:

Natural Language Processing $($NLP$)$: NLP is the core technology that allows chatbots to

understand human language. It involves several sub$-$processes:

Tokenization: Breaking down the input text into individual words or phrases.

Intent Recognition: Identifying the user's intention or purpose behind the query.

Entity Recognition: Extracting specific information from the query, such as dates, names, or

locations.

Machine Learning $($ML$)$: ML algorithms enable chatbots to learn from data. Over time, they

improve their ability to respond accurately based on past interactions. For instance, if a user

frequently asks about course registration, the chatbot will prioritize this information in future

interactions.

Dialog Management: This system determines how the chatbot should respond based on the

context and intent recognized. It ensures the conversation flows naturally and guides the user

toward a solution or desired outcome.

Response Generation: Finally, the chatbot generates a response. This can be a simple text reply,

a link to further information, or an action like booking an appointment or retrieving data.