What are the different types of training for AI models?

What are the different types of training for AI models?

There are several types of training for AI models, including supervised, unsupervised, semi-supervised, and reinforcement learning.

Can you explain supervised learning?

Supervised learning involves training a model on labeled data, where the input-output pairs are known, allowing the model to learn the mapping.

What about unsupervised learning?

Unsupervised learning is when the model is trained on data without labeled responses, aiming to find patterns or groupings in the data.

How does reinforcement learning work?

Reinforcement learning involves training an agent to make decisions by rewarding it for good actions and penalizing it for bad ones, learning through trial and error.

Are there any other types of training I should know about?

Yes, there's also transfer learning, which involves taking a pre-trained model and fine-tuning it for a specific task, and few-shot learning, which aims to learn from very few examples.