# Artificial Intelligence glossary

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

## Transhumanism

## Tree Traversal

## True Quantified Boolean Formula

## Type System

## Watson

## Adapter

## Controllability

## Fine Tuning

## Hallucination

## Instruction-Tuning

## Large Language Model (Llm)

## Multi-Hop Reasoning

## Natural Language Ambiguity

## Reasoning

## Recursive Prompting

## Sequence Modeling

## Text-To-Speech

## Cpu

## Leave-P-Out Cross-Validation

## Data Augmentation

## Unstructured Data

## Curse Of Dimensionality

## Gans

## Hyperparameter Tuning

## Logistic Regression

- When would you use a logistic regression instead of linear regression?
- What is the main difference between linear and logistic regression?
- What is logistic regression in simple terms?
- What is logistic regression best for?
- When should logistic regression be used for data analysis?
- Why logistic regression is better than linear regression?