# AI Components What AI is driven by an advanced, multifaceted AI engine that combines cutting-edge Natural Language Processing (NLP), Machine Learning (ML), and Large Language Models (LLMs). This powerful engine enables What AI to understand your queries, learn from your interactions, and provide insightful responses across WhatsApp, Telegram, and Discord. Designed to make crypto management simple and intuitive, What AI’s AI engine brings intelligence and depth to your fingertips, turning complex blockchain operations into straightforward interactions. ## Components of the What AI Engine ### **1. Natural Language Processing (NLP) - Conversing in Your Language** What AI’s NLP capabilities allow it to interpret user commands and respond naturally in plain language. Whether you want to check market prices, execute a transaction, or track your crypto portfolio, the NLP component ensures a smooth and conversational experience. What AI also supports multi-language functionality, meaning users worldwide can access its features in their preferred language. Simply put, it understands you, regardless of technical jargon or language barriers. ### **2. Machine Learning (ML) - Personalized Insights and Efficiency** What AI learns from user behavior and continuously adapts to provide personalized insights. Through its Machine Learning models, What AI tailors its responses based on your preferences, frequently used commands, and transaction patterns. For example, if you often monitor specific tokens, What AI’s ML component will begin prioritizing relevant market updates or offer optimized transaction options, saving you time and costs on every interaction. The result is a personalized experience that gets better with every use. ### **3. Large Language Models (LLMs) - Deep Knowledge and Contextual Understanding** Underpinning What AI’s intelligence is a network of Large Language Models trained on vast amounts of cryptocurrency and financial data. These LLMs enable What AI to deliver in-depth, contextual answers to your questions, whether it’s about the fundamentals of a specific token, insights into DeFi protocols, or emerging trends in the crypto market. LLMs allow What AI to go beyond surface-level answers, providing you with expert-level knowledge that feels like speaking with an industry professional. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://what-ai.gitbook.io/what-ai/technological-architecture/ai-engine/ai-components.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.