Compare similar AI terms side by side, learn the key differences, and remember them with simple analogies and memory tips.
Total Pairs
17
Beginner
8
Categories
12
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Beginner First
Artificial Intelligence
The broad field of making computers perform tasks that usually require human intelligence.
Machine Learning
A subset of AI where systems learn patterns from data instead of being manually programmed for every rule.
Models learn patterns from data using algorithms.
Deep Learning
A type of machine learning that uses neural networks with many layers.
Training
The process where a model learns from data by adjusting its internal parameters.
Inference
Using a trained model to make a prediction or generate an answer.
Token
A chunk of text processed by a language model. It can be a word, part of a word, punctuation, or space.
Word
A human-readable unit of language separated by spaces or punctuation.
Semantic Search
Search based on meaning.
Keyword Search
Search based on exact words or phrases.
Model
The trained AI system that produces predictions or outputs.
API
The interface used by software to call the model or service.
Hallucination
A confident-sounding AI output that is false or unsupported.
Error
Any incorrect result, which may come from code, data, logic, or user input.
Coding Agent
An AI assistant that can inspect files, plan, edit code, run commands, and iterate.
AI Code Completion
AI suggestions that complete lines, functions, or snippets while you type.
Prompting
Giving instructions or examples to a model at request time.
Fine-Tuning
Updating a model with additional training so it behaves better for a specific task.
RAG
Retrieval-Augmented Generation retrieves external information and gives it to the model as context.
Fine-tuning changes model behavior by training it on examples.
Embedding
A numeric representation that captures meaning.
A chunk of text the model reads or generates.
Vector Database
A database optimized for storing embeddings and finding items with similar meaning.
Traditional Database
A database optimized for structured records, exact queries, joins, and transactions.
Precision
Of the items predicted positive, how many were actually positive.
Recall
Of all actual positives, how many the model found.
AI Agent
A system that can reason, use tools, and decide actions across steps.
Workflow Automation
A predefined sequence of steps that runs based on rules or triggers.
LLM
A large language model focused mainly on understanding and generating text.
Foundation Model
A broad model trained on large data that can be adapted to many tasks and may support text, images, audio, or more.
Temperature
Controls randomness by changing how strongly the model favors likely tokens.
Top P
Controls the pool of next-token choices by considering only the most likely options up to a probability threshold.
Frequency Penalty
Discourages repeated words or phrases based on how often they already appeared in the text.
Presence Penalty
Encourages new topics by penalizing any word that has appeared at all, regardless of frequency.