Model training

In the realm of Artificial Intelligence (AI) and Machine Learning (ML), model training is a fundamental process that transforms raw data into a functional model capable of making predictions, classifying information, or uncovering patterns. It can be thought of as teaching a computer to learn from examples, much like how humans learn from experience. However, training AI models is a computationally intensive process that can have significant energy costs and environmental impacts. Efficiently training AI models not only reduces energy consumption but also accelerates development cycles and minimizes operational costs, paving the way for a more sustainable and cost-effective future in AI.

AI Model

In the context of AI and ML, a model is a mathematical representation of a real-world process or system. It’s trained using historical data to recognize patterns, make predictions, or identify relationships within the data.

The activities involved in training...