What is Training In Ai?
Training in AI refers to the process of teaching a machine learning model to recognize patterns in data. This involves feeding the model a large dataset, where it learns to make predictions or classifications based on the input it receives. During training, the model adjusts its internal parameters to minimize errors in its predictions, often using techniques like gradient descent. The quality and quantity of the training data significantly influence the model's performance and accuracy in real-world tasks. After training, the model can be evaluated and fine-tuned for specific applications.
