Agent
An AI loop that plans, uses tools, observes, and continues toward a goal.
Reference
Look up a term anytime. Each entry has its own page and links back into a tutorial lesson when one exists.
An AI loop that plans, uses tools, observes, and continues toward a goal.
AI copyright concerns how copyright law applies to AI training data, generated outputs, and human authorship.
AI monitoring tracks a deployed AI system's quality, reliability, safety, and operational performance.
Chain-of-thought prompting asks a model to work through intermediate reasoning steps before giving an answer.
Clustering is an unsupervised learning method that groups data points by similarity.
A decision tree predicts an outcome by applying a sequence of feature-based splits.
Deep learning uses multilayer neural networks to learn representations and patterns from data.
Numbers that represent the meaning of text so computers can compare ideas.
Git is a distributed version control system for tracking and combining changes to files.
GitHub is a platform for hosting Git repositories and collaborating on software.
A Large Language Model predicts the next piece of text from patterns it learned.
A loss function measures how far a model's predictions are from the desired outcomes during training.
A standard way to plug tools and data into AI apps — like USB for AI capabilities.
Model serving makes a trained model available to applications for inference, usually through an API.
A multi-agent system coordinates multiple autonomous agents that interact to pursue shared or separate goals.
Production AI architecture is the system design that connects models, data, applications, infrastructure, and operational controls.
Retrieve relevant documents first, then generate an answer from them.
A random forest combines many randomized decision trees to produce a more robust prediction.
Speech recognition converts spoken language in audio into text.
A small chunk of text the model reads and writes.
Let an AI app run real actions (weather, calendar, API) instead of only chatting.
A **transformer** is the architecture behind modern LLMs. Its **attention** mechanism weighs which earlier tokens matter most when predicting the next one.
A list of numbers that can be treated like a point in space.
A virtual environment isolates a Python project's packages and versions from other projects and the system installation.