Artificial Intelligence Concepts

Large Language Models (LLM)

• Machine learning models that can comprehend and generate human language text.

• Simple algorithms for data sorting.

• Statistical models for predicting numerical outcomes.

• Basic text editors for writing code.

Artificial Intelligence (AI)

• The ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

• A type of software that can only perform pre-defined tasks without learning.

• A system that can only process data but cannot make decisions.

• A technology that requires human intervention for every task.

Human Intelligence

• The ability to memorize facts without understanding them.

• The ability to perceive and interpret information, and to retain it as knowledge to be applied in the correct context.

• The ability to perform tasks without any prior knowledge.

• The ability to solve problems using only intuition.

Turing Test

• A test that measures a computer's ability to perform calculations.

• A test that determines how realistic, or humanlike a computer system really is.

• A test that evaluates the speed of a computer's processing power.

• A test that checks the memory capacity of a computer.

Prompt Engineering

• The practice of designing inputs for AI tools that will produce optimal outputs.

• A method for training AI models using large datasets.

• A technique for debugging AI algorithms effectively.

• The process of evaluating AI performance metrics.

Narrow AI

• AI that is built for a specific purpose and excels in its limited domain.

• AI that can perform any intellectual task that a human can do.

• AI that is designed to learn and adapt over time without specific programming.

• AI that operates across multiple domains and tasks simultaneously.

General AI (AGI)

• A type of AI that specializes in a single task.

• A more human-like AI; versatile across various cognitive functions and tasks, having broader capabilities.

• An AI that only follows pre-defined rules without learning.

• A system that can only perform tasks it was specifically programmed for.

Bias

• Occurs when a result is more favorable to a certain outcome.

• Is a systematic error that affects the validity of research findings.

• Refers to a preference for one side over another without justification.

• Is the process of collecting data in a neutral manner.

Multimodal Model

• A model that processes only text data.

• A model that is capable of processing information from multiple types of data, including images, videos, and text.

• A model that focuses solely on audio data.

• A model that is used for data encryption.

Predictive AI

• A type of AI that generates random outcomes.

• A form of artificial intelligence that uses what it has learned to predict an outcome.

• An AI system that only analyzes past data without making predictions.

• A technology that automates manual tasks without learning from data.