1.
Artificial intelligence that creates new, original content (text, images, code, etc.) rather than just analyzing or classifying existing information.
2.
AI systems called "large" because they contain billions or trillions of parameters (adjustable values) that help the model understand and generate human language.
3.
The billions or trillions of numerical values in an AI model that determine how it processes and responds to information.
4.
The skill of crafting effective instructions or questions to get the best results from AI systems.
5.
Unexpected abilities that AI systems develop during training that even surprised their creators - skills that weren't specifically programmed in.
6.
AI systems that can process and understand multiple types of input (text, images, audio, video) simultaneously.
7.
When AI models generate convincing but factually incorrect information, making it seem real and accurate when it's not.
8.
Advanced AI systems that can work independently with tools and high-level goals, rather than waiting for constant human prompts and guidance.
9.
A system that allows different software programs to communicate with each other - in AI context, it lets developers connect their applications to AI models.
10.
The structural design of how artificial neurons are organized and connected in an AI system to process information.
11.
The massive collection of text, images, and other information used to teach AI models how to understand and generate content.
12.
A pattern where capabilities increase at an accelerating rate over time, doubling or tripling rapidly rather than growing steadily.
13.
finds/classifies existing content
14.
creates new original content
15.
most powerful combination for the future
16.
determines AI output quality
