New movie about I work on some kind of AI project

Hello! What can I do for you? Is there a need?“`  I work on some kind of AI project. It’s called [AI] and it needs more training data, but not much (no-one really uses this sort of thing anymore). A bit recently my team started to use Neural Networks without asking me before! To be honest I was surprised at the results they got :D: Lets get together now – If we go back in time… 1. Training dataset:  Data that supports an algorithm or model should have enough instances to train it effectively. The less number of examples per class means fewer parameters will needed for each new example, therefore lower costs, better performance. Common choices are labeled text corpus where most humans perform best (like articles) with little effort; hand written notes from someone who had seen many similar episodes; etc.  2. Dataset preprocessing: Data is usually split into small chunks based on categories where common sense prevails over clever algorithms. This could involve manual inspection to detect mistakes, maybe by looking for patterns.  3. Instance selection: Typically multiple