Udemy - Generative AI and Large Language Models

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 -Introduction.mp4 (59.1 MB)
• 2 -2. Course Content.mp4 (23.0 MB)
2 - Introduction to Generative AI
• 1 -3. What is Generative AI.mp4 (23.7 MB)
• 2 -4. Example - Difference between GenAI and Discriminative AI.mp4 (25.3 MB)
• 3 -5. A review on Probability Terms, Bayes theorem.mp4 (94.7 MB)
• 4 -6. Case Study Introduction - Digit Recognition.mp4 (15.4 MB)
• 5 -7. Case Study Introduction - Digit Recognition (Contd.).mp4 (40.7 MB)
• 6 -8. Summary on GenAI.mp4 (39.4 MB)
3 - Introduction to Large Language Models
• 1 -9. Introduction to LLMs.mp4 (12.6 MB)
• 2 -10. Understanding language is not easy.mp4 (13.2 MB)
• 3 -11. LLM Demo.mp4 (17.3 MB)
• 4 -12. What does an LLM do.mp4 (18.7 MB)
• 5 -13. Applications of an LLM.mp4 (4.4 MB)
4 - Core Architecture of LLM and Neural Networks Basics
• 1 -14. Introduction to the architecture used in LLM.mp4 (36.9 MB)
• 2 -15. Fully Connected Networks.mp4 (133.0 MB)
• 3 -16. Neural Networks are Function Approximators.mp4 (62.7 MB)
• 4 -17. Introduction to RNN.mp4 (55.1 MB)
• 5 -18. RNN - A deep dive.mp4 (70.4 MB)
• 6 -18.1 - Pretraining vs Finetuning.mp4 (55.7 MB)
5 - Transformers and Core Mechanisms
• 1 -19. Introduction to Transformers - Tokenization.mp4 (39.1 MB)
• 2 -20. Python demo on Tokenization.mp4 (36.4 MB)
• 3 -21. Embedding - Words in the vector space.mp4 (97.4 MB)
• 4 -22. Overview on the working of the Encoder-Decoder.mp4 (83.4 MB)
• 5 -23. Self Attention - Full Explanation on the QKV Matrix.mp4 (118.6 MB)
• 6 -24. Embedding - Demo.mp4 (50.7 MB)
6 - Practical Applications and Labs
• 1 -25. Lab 1 - Building a chabot using Huggingface.mp4 (92.2 MB)
• 2 -26. Inferencing Parameters - top p, top k, temperature.mp4 (57.6 MB)
• 3 -27. Demo on Inferencing Parameters.mp4 (33.2 MB)
• 4 -28. Lab 2 - Sentiment Analysis.mp4 (66.1 MB)
• 5 -29. Lab 3 - Building a simple translator.mp4 (45.1 MB)
7 - Evaluation and Advanced Concepts
• 1 -30. Evaluation Metrics - The BLEU Score.mp4 (75.8 MB)
• 2 -31. Evaluation Metrics - The ROUGE score.mp4 (35.4 MB)
• 3 -32. In Context Learning - Zero shot, few shot, One shot Inferences.mp4 (68.7 MB)
• Bonus Resources.txt (0.1 KB)