# AI 47 AI terms explained simply, ordered from basic to advanced. Start at the top if the topic is new to you. ## Basic - [AGI](https://tidbit.legios.com.ar/agi/): A hypothetical AI able to do most mental tasks as well as a person. Not here yet. - [AI bias](https://tidbit.legios.com.ar/ai-bias/): When an AI system treats some groups of people unfairly, usually learned from its data. - [Amazon Bedrock](https://tidbit.legios.com.ar/amazon-bedrock/): A single AWS service to call AI models from Anthropic, Meta, Amazon and others. - [Anthropic](https://tidbit.legios.com.ar/anthropic/): The AI company behind Claude, built around making models safe and useful. - [Artificial intelligence](https://tidbit.legios.com.ar/artificial-intelligence/): Getting computers to do things that, until recently, only people could do. - [Chatbot](https://tidbit.legios.com.ar/chatbot/): A program you talk to by typing or speaking, as if it were a person. - [ChatGPT](https://tidbit.legios.com.ar/chatgpt/): OpenAI's chat assistant, the app that brought AI chatbots to the general public. - [Claude](https://tidbit.legios.com.ar/claude/): Anthropic's family of AI models, and the assistant app built on them. - [Data science](https://tidbit.legios.com.ar/data-science/): Using statistics, code and business sense to answer questions with data. - [Deepfake](https://tidbit.legios.com.ar/deepfake/): A fake video, photo or voice made with AI to look and sound like a real person. - [DeepSeek](https://tidbit.legios.com.ar/deepseek/): A Chinese AI lab whose open-weight models showed that top AI could be built for less. - [Gemini](https://tidbit.legios.com.ar/gemini/): Google's family of AI models, and the assistant app that carries the same name. - [Generative AI](https://tidbit.legios.com.ar/generative-ai/): AI that creates new text, images, audio or code instead of just sorting things. - [GitHub Copilot](https://tidbit.legios.com.ar/github-copilot/): An AI assistant inside the code editor that suggests and writes code. - [Google](https://tidbit.legios.com.ar/google/): The search company that gives most products away and makes its money on ads. - [GPU](https://tidbit.legios.com.ar/gpu/): The chip that does thousands of simple calculations at once. - [Hallucination](https://tidbit.legios.com.ar/hallucination/): When an AI model states something false with total confidence. - [Hugging Face](https://tidbit.legios.com.ar/hugging-face/): The website where people share AI models and datasets, and the tools to use them. - [LLM](https://tidbit.legios.com.ar/llm/): A neural network trained on huge amounts of text to predict the next word. - [Machine learning](https://tidbit.legios.com.ar/machine-learning/): Teaching computers by showing them examples instead of writing every rule. - [Mistral AI](https://tidbit.legios.com.ar/mistral-ai/): A French company that builds AI language models, many of them with open weights. - [Neural network](https://tidbit.legios.com.ar/neural-network/): A pile of tiny math units that learns patterns from examples. - [OpenAI](https://tidbit.legios.com.ar/openai/): The company that made ChatGPT and turned AI into a household topic. - [Perplexity](https://tidbit.legios.com.ar/perplexity/): An AI answer engine that searches the web and replies with a summary and its sources. - [Prompt](https://tidbit.legios.com.ar/prompt/): Everything you send to an AI model: the question, the instructions, the context. - [Prompt engineering](https://tidbit.legios.com.ar/prompt-engineering/): Writing instructions for an AI model so it gives you what you actually need. - [Token](https://tidbit.legios.com.ar/token/): The small chunk of text a language model actually reads. ## Intermediate - [AI agent](https://tidbit.legios.com.ar/ai-agent/): An LLM that can take actions, check the results and keep going until the job is done. - [Amazon SageMaker](https://tidbit.legios.com.ar/amazon-sagemaker/): The AWS workshop for building, training and serving machine learning models. - [Computer vision](https://tidbit.legios.com.ar/computer-vision/): The part of AI that lets computers find and understand what is in images and video. - [Context window](https://tidbit.legios.com.ar/context-window/): How much text an AI model can take into account at once, measured in tokens. - [Deep learning](https://tidbit.legios.com.ar/deep-learning/): Machine learning with many-layered neural networks, behind most recent AI leaps. - [Embeddings](https://tidbit.legios.com.ar/embeddings/): Turning words, images or documents into lists of numbers that capture meaning. - [Fine-tuning](https://tidbit.legios.com.ar/fine-tuning/): Extra training that adapts an existing AI model to a specific task or style. - [Model Context Protocol](https://tidbit.legios.com.ar/model-context-protocol/): An open standard for plugging tools and data into AI assistants the same way every time. - [Model parameters](https://tidbit.legios.com.ar/model-parameters/): The billions of numbers a model learns in training; '70B' means 70 billion of them. - [Multimodal AI](https://tidbit.legios.com.ar/multimodal-ai/): AI that works with more than one kind of data at once: text, images, sound, video. - [Natural language processing](https://tidbit.legios.com.ar/natural-language-processing/): The field of AI that works with human language: reading, writing, translating. - [NPU](https://tidbit.legios.com.ar/npu/): A small AI engine inside phones and laptops that runs models fast on little battery. - [Open-weights models](https://tidbit.legios.com.ar/open-weights-models/): AI models whose trained numbers anyone can download and run on their own machines. - [RAG](https://tidbit.legios.com.ar/rag/): Let the model look things up in your documents before it answers. - [Reinforcement learning](https://tidbit.legios.com.ar/reinforcement-learning/): Learning by trial and error, guided by rewards for good outcomes. - [TPU](https://tidbit.legios.com.ar/tpu/): Google's chip designed specifically for the math of neural networks. - [Training and inference](https://tidbit.legios.com.ar/training-and-inference/): Training builds the model once; inference is using it, millions of times a day. - [Vector database](https://tidbit.legios.com.ar/vector-database/): A database that finds things by similar meaning instead of exact matching words. ## Advanced - [Diffusion model](https://tidbit.legios.com.ar/diffusion-model/): An image generator that starts from random noise and cleans it up, step by step. - [Transformer](https://tidbit.legios.com.ar/transformer/): The neural network design behind modern language models, built around 'attention'.