What is the difference between inference and training in AI?

What is the difference between inference and training in AI?

Training is the process of teaching an AI model using data, while inference is when the model makes predictions based on new data.

Can you explain how training works in more detail?

Sure! During training, the model learns patterns from a dataset by adjusting its parameters to minimize errors.

And what happens during inference?

During inference, the trained model uses the learned patterns to make predictions or decisions based on unseen data.

Are there any specific algorithms used for training?

Yes, common algorithms include gradient descent, decision trees, and neural networks, depending on the task.