AI Chatbot Glossary
What Is Bot Training?
Bot training is the process of providing a chatbot with data, instructions, and examples so it can respond accurately to user queries.
Definition
The process of providing a chatbot with data, instructions, and examples so it can respond accurately to user queries. Training can involve uploading knowledge base documents, writing custom instructions, setting conversation tone, and fine-tuning responses based on real interactions.
Why Bot Training Matters for AI Chatbots
Modern AI chatbots do not require model fine-tuning to work well. "Training" in practice means feeding the bot your website URL, product catalog, help center, and FAQs, plus a short system prompt describing personality and escalation rules. Most Chatonbo customers are fully trained in under an hour.
FAQ
- How are chatbots trained?
- Modern AI chatbots are trained by giving them content and instructions, not by retraining the underlying model. You point the bot at your website, product catalog, help pages or documents, add a short set of instructions about tone and what to do when it does not know, and the bot answers from that material. Fine-tuning a model is only needed for specialised behaviour and is rare for a business website chatbot.
- How long does chatbot training take?
- For a website chatbot, minutes to an hour. Crawling a site and indexing its pages is automatic; most of the time goes into reading early conversations and adding the facts the bot could not find. Most Chatonbo customers are fully trained in under an hour.
- What is the difference between bot training and fine-tuning?
- Bot training, in everyday use, means feeding the chatbot your own content and instructions so it answers accurately about your business. Fine-tuning means changing the weights of the language model itself with example conversations. Training in the first sense needs no machine learning skills and is what almost every business chatbot relies on.
See it in practice:
Learn how to train your botRelated Terms
Training Data
Training data is the information used to teach an AI model how to respond - for chatbots, this includes knowledge base documents, website content, FAQs, and product catalogs.
Knowledge Base
A knowledge base is a structured collection of information (documents, FAQs, policies) that a chatbot uses to find accurate answers - searched in real time to ground responses.
Prompt Engineering
Prompt engineering is the art of crafting instructions that guide AI models to produce desired outputs - defining chatbot personality, knowledge boundaries, and response rules.
RAG (Retrieval-Augmented Generation)
RAG is a technique that enhances AI responses by retrieving relevant information from a knowledge base before generating an answer - reducing hallucinations and grounding replies in real data.