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Chatbot

Computer program simulating a human conversation. Modern chatbots use AI to understand natural language and respond contextually.

🎯 Why it matters
The chatbot has become the universal point of access to artificial intelligence for the general public and businesses. Knowing how it works makes it possible to better formulate requests for accurate and useful answers. It is the basic tool for automating the customer relationship and simplifying access to internal information.
💡 Concrete example
ChatGPT and Claude are advanced chatbots capable of writing, analyzing and explaining complex concepts.
⚙️ In practice
Modern chatbots rely on natural language (NLP) and language models (LLM) to interpret the user's intention. During an interaction, the system analyzes the text entered, searches the relevant context in its short-term memory, and then generates a word-by-word response by predicting the most likely follow-up. For companies, they are often connected to knowledge bases via increased generation by recovery (RAG) techniques to ensure reliable responses.
Common mistake: Think all chatbots are smart. Many basic customer support robots still use rigid decision trees and do not understand natural language variations, unlike chatbots based on general AI.
❓ Frequently asked questions
It uses a session memory which consists of reinjecting the history of previous exchanges into each new query sent to the template, within its context window.
This phenomenon is called hallucination. The model seeks to produce a fluid and linguistically plausible text, even if it does not have the real facts to answer.
🛠️ AI tools to practice with
ChatGPT
Contenu Voir la fiche →
Claude
Programmation et création d'applications Voir la fiche →
Gemini ai
Productivité, études et traduction Voir la fiche →
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