Webclass 145: Contract analysis with python

Q1. What does NLP stand for?

Q2. What does MMLU stand for?

Q3. What is MMLU used for?

Q4. What is few shot?

Q5. The Gemma NLP model is pre-trained

Q6. Why might you not want to use Gemini on your local computer

Q7. What is Gemma?

Q8. The NLP that we choose depends on the tasks we want to achieve and the resource constraints that we have

Q9. Where do we go to get the Gemma model?

Q10. Kaggle is an NLP model

Q11. Why might you want to test your python program with NLP in Kaggle?

Q12. If you use a Gemma NLP model it can only be used in the cloud

Q13. What is GPU?

Q14. Why would we opt for using GPU over CPU for running NLP models?

Q15. Why would we want to do pip install accelerate?

Q16. Can GEMMA automatically find paragraphs of similar meaning, or does it require specific key word-matching?

Q17. With QLIK data visualization combined to Artificial Intelligence, can we see predictions in real-time for different selections of dimensions?