What are some advanced training techniques for AI models?

What are some advanced training techniques for AI models?

Some advanced techniques include transfer learning, data augmentation, and reinforcement learning.

Can you explain transfer learning in more detail?

Transfer learning involves taking a pre-trained model and fine-tuning it on a new, related task, saving time and resources.

What is data augmentation and how does it help?

Data augmentation artificially increases the size of your training dataset by creating modified versions of existing data, improving model robustness.

How does reinforcement learning differ from supervised learning?

Reinforcement learning focuses on learning through trial and error, receiving rewards or penalties, while supervised learning uses labeled data.