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Dictionary of artificial intelligence terms in English: what ChatGPT, LLM, RAG, prompt, AI agent and more mean. Simple explanations.
ChatGPT is OpenAI's conversational AI assistant built on large language models (LLMs). It can hold conversations, write texts, code, analyze documents and generate images, among other tasks. It is the most used generative AI tool in the world.
A large language model (LLM) is a neural network trained on huge amounts of text to predict and generate natural language. Models like GPT, Claude or Llama belong to this category and are the foundation of most current AI assistants.
Generative AI is a type of artificial intelligence capable of creating new content: text, images, audio, video or code. It differs from traditional AI in that it does not only analyze or classify, but generates original outputs from what it has learned.
Machine learning is a branch of AI that lets systems learn from data and improve without being explicitly programmed. It is the basis of applications such as recommendation systems, image recognition or language models.
RAG is a technique that combines language models with external databases to provide answers based on specific, up-to-date information from a company or document, reducing hallucinations. It is widely used to build customer service chatbots on an organization's knowledge.
An AI assistant is a conversational system designed to help people with everyday or professional tasks: answering questions, writing, summarizing or automating actions. Popular examples include ChatGPT, Gemini, Claude or Copilot.
A hallucination is when an AI model generates false or invented information with complete confidence and the appearance of truth. It happens because the model predicts likely text rather than consulting a database. That is why you should always verify critical information.
A prompt is the instruction or question given to an AI model to get a response. The quality of the result largely depends on how the prompt is written: the clearer, more specific and contextualized, the better the answers.
Prompt engineering is the discipline of designing effective instructions for AI models. Mastering techniques such as providing context, specifying the output format or breaking complex tasks into steps gets much more accurate and useful results.
An AI agent is a system that acts autonomously to achieve a goal, planning tasks, using tools and making decisions on its own. They are the evolution of simple chatbots and are revolutionizing business process automation.
AI automation is the use of artificial intelligence models to perform repetitive tasks without human intervention: answering emails, classifying data, generating reports or managing workflows. It lets companies and professionals save time and focus on higher-value tasks.
AI image generation creates images from text descriptions (prompts). Tools like Midjourney, DALL-E or Stable Diffusion let designers and creators produce illustrations, concepts and visual material without needing design skills.
AI video generation lets you create clips and full videos from text or images. It is one of the fastest-growing areas and is transforming content production for marketing, training and entertainment.
Using AI in programming lets you generate, review and debug code with tools like GitHub Copilot, Cursor or ChatGPT. It speeds up development, helps understand legacy code and catches errors, though a professional should always validate the result.
Creating an AI resume means using tools like ChatGPT to write, optimize and adapt your CV to each job offer. AI helps summarize achievements, use job keywords and improve the format, increasing your chances of passing screening filters.