AI models

Trained algorithms (e.g., deep neural networks) that process massive data sets to autonomously execute tasks: prediction, classification, or content generation (like GPT-4).

AI models are mathematical frameworks, often deep neural networks, trained on vast datasets to identify complex patterns and make autonomous decisions. Foundation models (e.g., Llama 3, Gemini) are pre-trained on trillions of tokens and billions of parameters, offering a versatile base for diverse applications. Key use cases span industries: predictive analytics in finance, computer vision for autonomous vehicles, and generative AI for creating text and images. These models are the core engine driving modern, intelligent automation, improving accuracy and efficiency across the board.

https://www.ibm.com/topics/ai-model