[ WebToolTip.com ] Udemy - Generative AI and Large Language Models

File Name

Size

Get Bonus Downloads Here.url

180 B

~Get Your Files Here !/1 - Introduction/1 -Introduction.mp4

59 MB

~Get Your Files Here !/1 - Introduction/2 -2. Course Content.mp4

23 MB

~Get Your Files Here !/2 - Introduction to Generative AI/1 -3. What is Generative AI.mp4

24 MB

~Get Your Files Here !/2 - Introduction to Generative AI/2 -4. Example - Difference between GenAI and Discriminative AI.mp4

25 MB

~Get Your Files Here !/2 - Introduction to Generative AI/3 -5. A review on Probability Terms, Bayes theorem.mp4

95 MB

~Get Your Files Here !/2 - Introduction to Generative AI/4 -6. Case Study Introduction - Digit Recognition.mp4

15 MB

~Get Your Files Here !/2 - Introduction to Generative AI/5 -7. Case Study Introduction - Digit Recognition (Contd.).mp4

41 MB

~Get Your Files Here !/2 - Introduction to Generative AI/6 -8. Summary on GenAI.mp4

39 MB

~Get Your Files Here !/3 - Introduction to Large Language Models/1 -9. Introduction to LLMs.mp4

13 MB

~Get Your Files Here !/3 - Introduction to Large Language Models/2 -10. Understanding language is not easy.mp4

13 MB

~Get Your Files Here !/3 - Introduction to Large Language Models/3 -11. LLM Demo.mp4

17 MB

~Get Your Files Here !/3 - Introduction to Large Language Models/4 -12. What does an LLM do.mp4

19 MB

~Get Your Files Here !/3 - Introduction to Large Language Models/5 -13. Applications of an LLM.mp4

4.4 MB

~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/1 -14. Introduction to the architecture used in LLM.mp4

37 MB

~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/2 -15. Fully Connected Networks.mp4

133 MB

~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/3 -16. Neural Networks are Function Approximators.mp4

63 MB

~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/4 -17. Introduction to RNN.mp4

55 MB

~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/5 -18. RNN - A deep dive.mp4

70 MB

~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/6 -18.1 - Pretraining vs Finetuning.mp4

56 MB

~Get Your Files Here !/5 - Transformers and Core Mechanisms/1 -19. Introduction to Transformers - Tokenization.mp4

39 MB

~Get Your Files Here !/5 - Transformers and Core Mechanisms/2 -20. Python demo on Tokenization.mp4

36 MB

~Get Your Files Here !/5 - Transformers and Core Mechanisms/3 -21. Embedding - Words in the vector space.mp4

97 MB

~Get Your Files Here !/5 - Transformers and Core Mechanisms/4 -22. Overview on the working of the Encoder-Decoder.mp4

83 MB

~Get Your Files Here !/5 - Transformers and Core Mechanisms/5 -23. Self Attention - Full Explanation on the QKV Matrix.mp4

119 MB

~Get Your Files Here !/5 - Transformers and Core Mechanisms/6 -24. Embedding - Demo.mp4

51 MB

~Get Your Files Here !/6 - Practical Applications and Labs/1 -25. Lab 1 - Building a chabot using Huggingface.mp4

92 MB

~Get Your Files Here !/6 - Practical Applications and Labs/2 -26. Inferencing Parameters - top p, top k, temperature.mp4

58 MB

~Get Your Files Here !/6 - Practical Applications and Labs/3 -27. Demo on Inferencing Parameters.mp4

33 MB

~Get Your Files Here !/6 - Practical Applications and Labs/4 -28. Lab 2 - Sentiment Analysis.mp4

66 MB

~Get Your Files Here !/6 - Practical Applications and Labs/5 -29. Lab 3 - Building a simple translator.mp4

45 MB

~Get Your Files Here !/7 - Evaluation and Advanced Concepts/1 -30. Evaluation Metrics - The BLEU Score.mp4

76 MB

~Get Your Files Here !/7 - Evaluation and Advanced Concepts/2 -31. Evaluation Metrics - The ROUGE score.mp4

35 MB

~Get Your Files Here !/7 - Evaluation and Advanced Concepts/3 -32. In Context Learning - Zero shot, few shot, One shot Inferences.mp4

69 MB

~Get Your Files Here !/Bonus Resources.txt

70 B