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Model

What Is An AI Model? The Simple Definition

A program that has been trained using data to find patterns, make predictions or generate content.

The Technical Definition

A model is a computer program or algorithm that has been trained to perform a specific task or make predictions based on data. AI models are designed to simulate human-like intelligence by learning from examples and data, allowing them to make decisions or generate responses autonomously. These models are used in various applications, such as image recognition, natural language processing, and recommendation systems, to solve complex problems and assist in decision-making processes.

Explain It Like I’m Five

Alright, imagine a model is like playing with toy blocks.

Each block is a piece of information or a rule. When you put these blocks together in a certain way, you can make something cool, like building a toy car.

A model program is like having special instructions on how to arrange these blocks. It tells you which blocks to use and where to put them. So, if you follow these instructions, you can create something amazing with your toy blocks.

Similarly, a model program in a computer is like a set of instructions that tells the computer what to do with all the information it has. It helps the computer organize and use that information to do specific tasks, like recognizing your voice when you talk to a smart speaker or suggesting what movie to watch on a streaming service.

So, just like with toy blocks, a model program helps computers do cool things by giving them the right instructions on how to use the information they have.

Use It At The Water Cooler

How to use “model” in a sentence at work:

“Companies choose the AI model that best fits their specific needs and data, and they often combine multiple models for more complex tasks. The choice of AI model depends on two things: the problem they are looking to solve and the data they have available.”

Related Terms

Machine Learning

Additional Resources

New York DFS AI Regulation, What Insurers Need To Know

New York DFS AI Regulation, What Insurers Need To Know

A must-read for insurance professionals. Instead of combing through pages and pages of legislation, this overview highlights everything you need to know. Understand fairness principles, and what is required for regulatory compliance for insurers licensed in New York. Stay informed about the best practices in AI governance to prevent discrimination and ensure transparency in insurance processes.

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