AI models

USAGE SUMMARY

The phrase "AI models" is correct and usable in written English.
You can use it when referring to various types of artificial intelligence systems or algorithms that are designed to perform specific tasks or functions. Example: "The research team is developing new AI models to improve natural language processing capabilities."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

47 human-written examples

AI models perform better with more data, but that performance may plateau over time.

TechCrunch

Developers can then choose information sources to train the AI models and connect the AI systems into the enterprise's broader application network to take action.

TechCrunch

Many AI models are black boxes today, and leading AI researchers are working to enable model explainability and tunability.

TechCrunch

Acumos AI is a platform for developing, discovering and sharing AI models and workflows.

TechCrunch

APIs truly bring AI to life and, without them, the value of AI models cannot be unlocked for the enterprise.

TechCrunch

AI businesses are not scalable right out of the gate: AI models take time and require data to train.

TechCrunch

Human-verified similar examples from authoritative sources

Similar Expressions

13 human-written examples

Famous models.

The New York Times

Fashion models strutted up and down.

The New York Times

Now, more sophisticated designs distinguish Audi models.

The New York Times

The action covers the 2011-12 RE models.

The New York Times

General Motors models seemed to win out.

The New York Times

Expert writing Tips

Best practice

When discussing the specifics of an AI system, be precise about the type of "AI models" you are referring to (e.g., machine learning, deep learning) to avoid ambiguity.

Common error

Avoid using the term "AI models" as a catch-all phrase. Be specific about the type of model (e.g., neural network, decision tree) to provide clarity and avoid misleading your audience.

Linguistic Context

The phrase "AI models" functions as a noun phrase, typically serving as the subject or object of a sentence. As Ludwig points out, it denotes specific implementations of artificial intelligence used for various tasks.

Expression frequency: Very common

Frequent in

Science

40%

News & Media

35%

Formal & Business

25%

Less common in

Wiki

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "AI models" is a frequently used noun phrase referring to specific implementations of artificial intelligence. As Ludwig confirms, the phrase is grammatically sound and widely accepted. It is commonly found in scientific, news, and business contexts, referring to algorithms used for prediction, automation, and problem-solving. When using the phrase, it's beneficial to be specific about the type of "AI models" being referenced (e.g., machine learning, deep learning) to avoid ambiguity. While general, it is better to replace it with specific terms like "neural networks" if the context requires it.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Artificial intelligence models

Adds the full name of AI, providing more clarity.

Machine learning models

Specifies a subset of AI, focusing on models that learn from data.

Deep learning models

Highlights a specific type of machine learning focused on neural networks.

Algorithmic models

Emphasizes the algorithmic nature of the models.

Predictive models

Focuses on the capability of the models to make predictions.

Computational intelligence models

Uses a more general term for AI, emphasizing computation.

Neural network models

Highlights the use of neural networks in creating AI.

Expert systems

Refers to AI systems designed to emulate human expert knowledge.

Intelligent systems

Uses a broader term to describe systems with AI capabilities.

Smart algorithms

Emphasizes the 'smart' or intelligent nature of the algorithms.

FAQs

How do I use "AI models" in a sentence?

You can use "AI models" to refer to systems or algorithms designed to perform specific tasks. For example, "The company uses sophisticated "AI models" to predict customer behavior."

What is the difference between "AI models" and "machine learning models"?

"Machine learning models" are a subset of "AI models". Machine learning models learn from data, while "AI models" can also be based on predefined rules or logic.

What are some alternatives to saying "AI models"?

Depending on the context, you can use alternatives such as "artificial intelligence models", "machine learning models", or "deep learning models".

When should I use "AI models" versus more specific terms like "neural networks"?

Use "AI models" when referring to the general category. When discussing specific architectures or techniques, use more precise terms like "neural networks", "decision trees", or "support vector machines".