CIE ( Unit 5 )

3. – One of TensorFlow’s high-level APIs for building neural networks
4. – Open-source deep learning library developed by Meta
5. – The graphical output format supported by Matplotlib
6. – Python library known for statistical plots and aesthetic visualization
9. – AI model that excels at context retention in long conversations
10. – Google’s advanced multimodal AI model
11. – AI service that converts voice to text
14. – ChatGPT uses this model to generate natural language responses
16. – An AI platform that offers model tuning based on business needs
18. – Jasper AI supports this type of writing commonly used in advertising
21. – Deep learning framework developed by Google Brain
22. – A popular data visualization library compatible with NumPy and Pandas
25. – The visualization board used in TensorFlow to monitor training
26. – A capability of Google Speech-to-Text that helps in noisy surroundings
27. – AI technique where human feedback is used to fine-tune responses
28. – A widely used platform for building and deploying scalable web services
30. – A feature of Gemini that combines input from multiple data types

1. – AI tool known for generating blogs and marketing content
2. – The underlying architecture of ChatGPT
7. – Library for real-time computer vision and image processing
8. – An AI-powered chatbot developed by OpenAI
12. – This AI trend supports real-time processing without cloud dependency
13. – Visualization plot type used in Seaborn to show variable distributions
15. – Tool used in fraud detection and face recognition
17. – Cloud-based interface used to run Python code and visualizations
19. – AI tool used by Google to track user behavior on websites and apps
20. – Popular IDE that supports cloud-based AI development with free GPU
23. – Concept referring to minimizing human mistakes in predictions using AI
24. – Python function used to display a Matplotlib plot
29. – AI field involving training models without needing new infrastructure