[ WebToolTip.com ] Udemy - Generative AI and Large Language Models
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- ~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/2 -15. Fully Connected Networks.mp4 133.0 MB
- ~Get Your Files Here !/5 - Transformers and Core Mechanisms/5 -23. Self Attention - Full Explanation on the QKV Matrix.mp4 118.6 MB
- ~Get Your Files Here !/5 - Transformers and Core Mechanisms/3 -21. Embedding - Words in the vector space.mp4 97.4 MB
- ~Get Your Files Here !/2 - Introduction to Generative AI/3 -5. A review on Probability Terms, Bayes theorem.mp4 94.7 MB
- ~Get Your Files Here !/6 - Practical Applications and Labs/1 -25. Lab 1 - Building a chabot using Huggingface.mp4 92.2 MB
- ~Get Your Files Here !/5 - Transformers and Core Mechanisms/4 -22. Overview on the working of the Encoder-Decoder.mp4 83.4 MB
- ~Get Your Files Here !/7 - Evaluation and Advanced Concepts/1 -30. Evaluation Metrics - The BLEU Score.mp4 75.8 MB
- ~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/5 -18. RNN - A deep dive.mp4 70.4 MB
- ~Get Your Files Here !/7 - Evaluation and Advanced Concepts/3 -32. In Context Learning - Zero shot, few shot, One shot Inferences.mp4 68.7 MB
- ~Get Your Files Here !/6 - Practical Applications and Labs/4 -28. Lab 2 - Sentiment Analysis.mp4 66.1 MB
- ~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/3 -16. Neural Networks are Function Approximators.mp4 62.7 MB
- ~Get Your Files Here !/1 - Introduction/1 -Introduction.mp4 59.1 MB
- ~Get Your Files Here !/6 - Practical Applications and Labs/2 -26. Inferencing Parameters - top p, top k, temperature.mp4 57.6 MB
- ~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/6 -18.1 - Pretraining vs Finetuning.mp4 55.7 MB
- ~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/4 -17. Introduction to RNN.mp4 55.1 MB
- ~Get Your Files Here !/5 - Transformers and Core Mechanisms/6 -24. Embedding - Demo.mp4 50.7 MB
- ~Get Your Files Here !/6 - Practical Applications and Labs/5 -29. Lab 3 - Building a simple translator.mp4 45.1 MB
- ~Get Your Files Here !/2 - Introduction to Generative AI/5 -7. Case Study Introduction - Digit Recognition (Contd.).mp4 40.7 MB
- ~Get Your Files Here !/2 - Introduction to Generative AI/6 -8. Summary on GenAI.mp4 39.4 MB
- ~Get Your Files Here !/5 - Transformers and Core Mechanisms/1 -19. Introduction to Transformers - Tokenization.mp4 39.1 MB
- ~Get Your Files Here !/4 - Core Architecture of LLM and Neural Networks Basics/1 -14. Introduction to the architecture used in LLM.mp4 36.9 MB
- ~Get Your Files Here !/5 - Transformers and Core Mechanisms/2 -20. Python demo on Tokenization.mp4 36.4 MB
- ~Get Your Files Here !/7 - Evaluation and Advanced Concepts/2 -31. Evaluation Metrics - The ROUGE score.mp4 35.4 MB
- ~Get Your Files Here !/6 - Practical Applications and Labs/3 -27. Demo on Inferencing Parameters.mp4 33.2 MB
- ~Get Your Files Here !/2 - Introduction to Generative AI/2 -4. Example - Difference between GenAI and Discriminative AI.mp4 25.3 MB
- ~Get Your Files Here !/2 - Introduction to Generative AI/1 -3. What is Generative AI.mp4 23.7 MB
- ~Get Your Files Here !/1 - Introduction/2 -2. Course Content.mp4 23.0 MB
- ~Get Your Files Here !/3 - Introduction to Large Language Models/4 -12. What does an LLM do.mp4 18.7 MB
- ~Get Your Files Here !/3 - Introduction to Large Language Models/3 -11. LLM Demo.mp4 17.3 MB
- ~Get Your Files Here !/2 - Introduction to Generative AI/4 -6. Case Study Introduction - Digit Recognition.mp4 15.4 MB
- ~Get Your Files Here !/3 - Introduction to Large Language Models/2 -10. Understanding language is not easy.mp4 13.2 MB
- ~Get Your Files Here !/3 - Introduction to Large Language Models/1 -9. Introduction to LLMs.mp4 12.6 MB
- ~Get Your Files Here !/3 - Introduction to Large Language Models/5 -13. Applications of an LLM.mp4 4.4 MB
- Get Bonus Downloads Here.url 180 bytes
- ~Get Your Files Here !/Bonus Resources.txt 70 bytes
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