This is a lunch & learn talk which is intended as a high level overview of Generative AI for those unfamilar with machine learning or coding
- I create a small domain for a toy problem
- Create a classifier which given 3 words can predict the next word in a sentence
- Visualise the training data we use for this classifier
- Demonstrate the performance of the model, showing the strengths and weaknesses
- Give some examples of the difference between our example and real world use.
This repo contains a Kaggle Notebook, view the notebook on Kaggle