Across
- 6. – AI model based on the structure of the human brain.
- 11. – Trend focused on human-like dialogue with machines.
- 14. – When an AI model makes predictions.
- 16. – Learning method based on rewards and penalties.
- 17. – Google’s cloud service with AI tools.
- 19. – Statistical data visualization library built on Matplotlib.
- 22. – When a model memorizes training data too well.
- 25. – Collection of data used for training models.
- 26. – Amazon’s cloud computing AI platform.
- 29. – Python library used for plotting and graphing.
- 31. – Machine learning that uses labeled data.
- 33. – Hardware for speeding up AI training.
Down
- 1. – Google service that transcribes audio to text.
- 2. – Flexible open-source deep learning library.
- 3. – Microsoft’s AI-powered assistant in Office apps.
- 4. – Google-owned AI research lab.
- 5. – Jasper's main application area.
- 7. – Google’s chatbot rival to ChatGPT.
- 8. – Programming language widely used in AI.
- 9. – Machine learning using unlabeled data.
- 10. – Technique for getting better responses from AI models.
- 12. – A basic metric to evaluate AI models.
- 13. – Google's machine learning framework.
- 15. – AI field dealing with language understanding.
- 18. – Popular AI chatbot developed by OpenAI.
- 20. – Field where AI analyzes visual inputs.
- 21. – AI that converts text to speech.
- 23. – Tool used to study user behavior patterns online.
- 24. – The process of teaching an AI model with data.
- 27. – AI tool used for generating marketing copy.
- 28. – Library for real-time computer vision.
- 30. – When a model performs poorly on both training and test data.
- 32. – Area of focus involving responsible AI use.