CIE ( Unit 5 )

2. – Deep learning framework developed by Google Brain
5. – A feature of Gemini that combines input from multiple data types
7. – Google’s advanced multimodal AI model
8. – One of TensorFlow’s high-level APIs for building neural networks
10. – AI field involving training models without needing new infrastructure
12. – ChatGPT uses this model to generate natural language responses
14. – Concept referring to minimizing human mistakes in predictions using AI
16. – An AI-powered chatbot developed by OpenAI
18. – Tool used in fraud detection and face recognition
22. – A capability of Google Speech-to-Text that helps in noisy surroundings
23. – The graphical output format supported by Matplotlib
25. – Python library known for statistical plots and aesthetic visualization
26. – The underlying architecture of ChatGPT
29. – Python function used to display a Matplotlib plot
30. – Cloud-based interface used to run Python code and visualizations

1. – Popular IDE that supports cloud-based AI development with free GPU
3. – AI tool used by Google to track user behavior on websites and apps
4. – AI service that converts voice to text
6. – Jasper AI supports this type of writing commonly used in advertising
9. – Library for real-time computer vision and image processing
11. – An AI platform that offers model tuning based on business needs
13. – A popular data visualization library compatible with NumPy and Pandas
15. – Visualization plot type used in Seaborn to show variable distributions
17. – This AI trend supports real-time processing without cloud dependency
19. – AI model that excels at context retention in long conversations
20. – A widely used platform for building and deploying scalable web services
21. – The visualization board used in TensorFlow to monitor training
24. – AI technique where human feedback is used to fine-tune responses
27. – AI tool known for generating blogs and marketing content
28. – Open-source deep learning library developed by Meta