Across
- 2. Clustering algorithm that groups data into k clusters
- 4. The instruction given to a language model
- 5. Metric to measure prediction error
- 8. Collection of structured or unstructured data
- 11. One complete pass through the training dataset
- 14. Retrieval-augmented generation in LLMs
- 15. Clue
- 17. Brain-inspired model used in deep learning
- 19. Vector of partial derivatives in optimization
- 20. Learning via rewards and penalties
Down
- 1. How neural networks learn through gradient descent
- 3. A group of models making predictions together
- 4. Python library for data manipulation and analysis
- 6. Normalizing or standardizing data for ML models
- 7. Distributed version control system
- 9. Area under the ROC curve
- 10. When your model knows the training set too well
- 12. An ML library famous for dynamic computation graphs
- 13. High-performance gradient boosting library
- 16. A resampling method to test model performance
- 18. Prevents overfitting by adding penalty terms