Week 13 - Markov
This week we worked on a Markov project. It was fun to utilize things like punctuation detection to work on word associations to generate random sentences. Both of my group members did well on their Markov project this week. We all had similar approaches with different twists. It was interesting to see how many different imports can be implemented to get the same results within our methods. I like how the lecture briefly tied in the similarities in this sort of thing to systems like ChatGPT that utilize similar principles on a way larger scale. The Markov project tracks single-word associations, but advanced models like this handle multiple tokens and use neural networks to predict the next word or token. But the lecture also mentioned these models often require extensive training data and sophisticated algorithms to achieve high accuracy. Something else that was briefly touched on was the ethical considerations of this data ...