Training vs. Inference

Training is when a model learns; inference is when it makes predictions based on what it learned.

Understanding helps with cost, deployment, and troubleshooting.

Training = teaching ChatGPT; Inference = using ChatGPT to answer a question

Training happens every time the AI answers

Training requires large compute (GPUs); inference is usually faster and more efficient.

Try training a model in Google Colab with scikit-learn.

Training data defines limits; inference can’t generalize beyond what was trained.