AI terminology, explained and organized in layman’s terms, in <2 minutes:
Published June 14, 2024
AI terminology, explained and organized in layman’s terms, in <2 minutes:
Artificial Intelligence (AI) ↪ A broad concept of machines mimicking human intelligence, around since the 1950s.
Narrow AI ↪ AI systems designed to perform a specific task without the ability to generalize beyond that.
Machine Learning (ML) ↪ A technology that learns patterns from data to perform specific tasks. Powers narrow AI.
Deep Learning (DL) ↪ A fancy way of doing ML, typically applied to large, unstructured datasets.
Generative AI (GenAI) ↪ A type of DL that aims to generate new original content from existing data.
Large language models (LLM) ↪ A type of GenAI with the goal to generate text content.
Generative Pre-Trained Transformers (GPT) ↪ A type of LLMs built on the transformer architecture, trained on massive datasets.
GPT-4 ↪ Currently the most powerful LLM on the market. Proprietary model by OpenAI.
ChatGPT ↪ Currently the most popular AI app in the world. Lets you interact easily with GPT-4 via chat.
And there you have it!
If you've grasped this hierarchy, you're well on your way to understanding the fundamentals of AI.
For a deeper dive, check out the article in the comments.
PS: I thoroughly enjoy the lively debate in the comments. Feel free to add your spin, but keep in mind that the purpose of this illustration is not to be published in an academic journal, but to make key terminology more accessible for business people. All layman’s definitions are incomplete, but some are useful.
PPS: If you want to learn more about the practical aspects of AI for business, consider joining my newsletter: https://lnkd.in/egURH-BZ
Originally posted on LinkedIn · 661 likes · 59 comments
