Understand the Buzzwords of AI
I had a conversation with a colleague last week and I was sharing the news of some new AI developments and started reeling off AI terms.
Luckily for me, my colleague understood most of them, but it got me thinking that maybe I should help others understand some of the most notable terms so you don’t feel like a deer in the highlights when having conversations that go down the AI rabbit hole.
If you have ever felt like the world of artificial intelligence is wrapped in a shroud of tech jargon? You’re not alone! AI is reshaping our world, but the terms can get a tad overwhelming. Whether you're a newbie trying to get a grip on the basics or a seasoned pro looking to brush up your knowledge, it’s important to understand the language of AI.
I’ve broken down some of the most common AI terms you might encounter in everyday tech talk. From chatbots that make customer service a breeze to advanced algorithms that predict market trends, understanding these terms will help you appreciate the incredible potential of AI and how it’s integrated into our daily lives.
You can use this cheat sheet to understand the key terms and make AI less intimidating.
Here’s a list of the top 10 common AI terms, along with their definitions:
AI (Artificial Intelligence):
Definition: The simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction.
Machine Learning (ML):
Definition: A subset of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Deep Learning:
Definition: A subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.
Natural Language Processing (NLP):
Definition: A branch of AI that helps computers understand, interpret, and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.
Chatbot:
Definition: A software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent. Designed to convincingly simulate the way a human would behave as a conversational partner.
Generative AI:
Definition: AI technologies that can generate new content, from text to images to music, that resemble human-like creations. They often leverage deep learning models like GANs (Generative Adversarial Networks).
AGI (Artificial General Intelligence):
Definition: A type of AI that has the ability to understand, learn, and apply intelligence across a broad range of tasks, matching or surpassing human intelligence and cognitive abilities.
LLM (Large Language Models):
Definition: A type of deep learning model designed to understand, generate, and translate text. These models process vast amounts of data to learn language patterns and nuances.
Robotics:
Definition: A branch of technology that involves the design, construction, operation, and use of robots, often used to automate tasks and perform duties in environments that may be hazardous to humans.
Computer Vision:
Definition: An AI field that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”