Understanding AI Terminology: A Comprehensive Guide

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Just flash your thumb with a like and buckle up by subscribing. Today, we are breaking down the chatGPT glossary. Here are 41 AI terms that everyone should know.

T, the AI chatbot from OpenAI, likely was your first introduction to AI. As people become more accustomed to a world intertwined with AI, new terms are popping up everywhere. So, whether you’re trying to sound smart over drinks or impress in a job interview, here are some important AI terms you should know. Let’s crack some atoms.

Artificial General Intelligence or AGI: A concept that suggests a more advanced version of AI than we know today, one that can perform tasks much better than humans while also teaching and advancing its own capabilities.
AI Ethics: Principles aimed at preventing AI from harming humans, achieved through means like determining how AI systems should collect data or deal with bias.
AI Safety: An interdisciplinary field that’s concerned with the long-term impacts of AI and how it could progress suddenly to a superintelligence that could be hostile to humans.

Algorithm: A series of instructions that allows a computer program to learn and analyze data in a particular way, such as recognizing patterns to then learn from it and accomplish tasks on its own.
Alignment: Tweaking an AI to better produce the desired outcome.
Anthropomorphism: When humans tend to give non-human objects human-like characteristics. In AI, this can include believing a chatbot is more human-like and aware than it actually is, like believing it’s happy, sad, or even sentient altogether.
Artificial Intelligence or AI: The use of technology to simulate human intelligence, either in computer programs or robotics.
Field: In computer science that aims to build systems that can perform human tasks.
Bias: In regards to large language models, errors resulting from the training data. This can result in falsely attributing certain characteristics to certain races or groups based on stereotypes.
Chatbot: A program that communicates with humans through text, simulating human language.
GPT: An AI chatbot developed by OpenAI that uses large language model technology.
Cognitive Computing: Another term for artificial intelligence.
Data Augmentation: Remixing existing data or adding a more diverse set of data to train an AI.
Deep Learning: A method of AI and a sub-field of machine learning that uses multiple parameters to recognize complex patterns in pictures, sound, and text. The process is inspired by the human brain and uses artificial neural networks to create patterns.
Neural Network: A computational model that resembles the human brain’s structure and is meant to recognize patterns in data.