Across
- 2. Neural networks for advanced AI tasks
- 4. AI learns from rewards and penalties
- 6. Conversational AI chatbot by OpenAI
- 8. Reduces human error in decisions
- 10. Converts spoken language to text
- 15. Natural Language Processing
- 17. Python library for data visualization
- 19. Google's multimodal AI model
- 20. AI that creates text, images, or videos
- 22. Allows tuning of AI models for specific needs
- 24. Tools usable from anywhere via cloud
- 25. Reduces human effort in repetitive tasks
- 27. Tensor Processing Unit used in Google AI
- 28. AI-powered content generation tool
- 30. Automate customer service interactions
- 31. Reinforcement Learning from Human Feedback
- 32. Running apps and storing data online
Down
- 1. Ability to handle large data and computations
- 3. Identifying unusual patterns in data
- 5. High-level API for building TensorFlow models
- 7. Computer vision and image processing library
- 9. Suggests items based on user behavior
- 11. Cloud-based Jupyter notebook platform
- 12. AI that runs on local devices without cloud
- 13. Gaining insights from data using AI
- 14. Deep learning framework developed by Meta
- 16. Forecasting future trends using data
- 18. Making data easier to understand using plots
- 21. Extremely large data sets analyzed by AI
- 23. Statistical data visualization library based on Matplotlib
- 26. Open-source machine learning framework by Google
- 29. Structure used in deep learning models