AI-PEDIA

Learn the language of automation.

A simple guide to the terms we use every day. Clear explanations to help you understand how the technology works.

All A C F G I K L M N P R S Z

- 4 terms

AI Hallucination

When an AI confidently makes up facts or details that are not grounded in real data.

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AI Model

The learned function that maps inputs to predictions, decisions, or generated content.

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AI Training

Teaching a model with data and feedback so it learns patterns that generalize.

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Algorithmic Bias

When AI creates unfair outcomes because of prejudices in its training data.

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- 1 term

Cost Structure

The transformation of business expenses from variable labor costs to fixed, scalable software costs.

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- 1 term

Fine-tuning

The process of training a pre-existing AI model on specific data to make it an expert.

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- 2 terms

Generative AI

Models that create new text, images, code, audio, or video from patterns they learned.

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GPU Cluster

Thousands of graphics cards linked together to act as one supercomputer for training AI.

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- 1 term

Inference

The moment the AI actually 'thinks' and produces an output after you hit enter.

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- 1 term

Knowledge Distillation

The process of transferring knowledge from a huge, complex model to a smaller, faster one.

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- 2 terms

Loss Function

The mathematical 'scorecard' an AI uses during training to measure how wrong its guess was.

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LPU (Language Processing Unit)

Thinking chips designed specifically for running LLMs at extreme speeds.

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- 1 term

Machine Learning

Using data and math to let software learn patterns instead of hardcoding rules.

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- 1 term

Natural Language Processing

Techniques that let software understand, generate, and work with human language.

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- 1 term

Parameters

The internal variables or 'settings' learned by the model during training.

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- 1 term

Reinforcement Learning

Teaching AI through trial and error, rewarding it for good actions.

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- 2 terms

Supervised Learning

Training AI using labeled examples, like a teacher with an answer key.

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Synthetic Data

Fake data created by AI to train other AI models.

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- 1 term

Zero-shot Learning

The ability of AI to complete a task it has never explicitly practiced before.

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