Introduction to Transformer Models for NLP Using BERT, GPT, and More to Solve Modern Natural Language Processing Tasks


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Creat Time:   2025-06-06
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Tags:    Introduction to Transformer Models for NLP Using BERT GPT and More to Solve Modern Natural Language Processing Tasks
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File List

  1. Lesson 09 Further Applications of BERT + GPT/002. 9.1 Siamese BERT-networks for semantic searching.mp4 174.23 MB
  2. Lesson 06 Hands-on BERT/003. 6.2 BERT for sequence classification.mp4 171.65 MB
  3. Lesson 12 The Vision Transformer/003. 12.2 Fine-tuning an image captioning system.mp4 148.68 MB
  4. Lesson 08 Hands-on GPT/003. 8.2 GPT for code dictation.mp4 118.73 MB
  5. Lesson 06 Hands-on BERT/005. 6.4 BERT for questionanswering.mp4 106.59 MB
  6. Lesson 09 Further Applications of BERT + GPT/003. 9.2 Teaching GPT multiple tasks at once with prompt engineering.mp4 99.74 MB
  7. Lesson 04 Natural Language Understanding with BERT/003. 4.2 Wordpiece tokenization.mp4 96.55 MB
  8. Lesson 07 Natural Language Generation with GPT/003. 7.2 Masked multi-headed attention.mp4 90.35 MB
  9. Lesson 06 Hands-on BERT/004. 6.3 BERT for token classification.mp4 89.58 MB
  10. Lesson 11 Hands-on T5/003. 11.2 Using T5 for abstractive summarization.mp4 83.99 MB
  11. Lesson 13 Deploying Transformer Models/003. 13.2 Sharing our models on HuggingFace.mp4 82.44 MB
  12. Lesson 04 Natural Language Understanding with BERT/002. 4.1 Introduction to BERT.mp4 81.43 MB
  13. Lesson 02 How Transformers Use Attention to Process Text/003. 2.2 Scaled dot product attention.mp4 81.32 MB
  14. Lesson 02 How Transformers Use Attention to Process Text/004. 2.3 Multi-headed attention.mp4 75.47 MB
  15. Lesson 08 Hands-on GPT/002. 8.1 GPT for style completion.mp4 72.21 MB
  16. Lesson 07 Natural Language Generation with GPT/002. 7.1 Introduction to the GPT family.mp4 70.31 MB
  17. Lesson 11 Hands-on T5/002. 11.1 Off the shelf results with T5.mp4 69.94 MB
  18. Lesson 07 Natural Language Generation with GPT/005. 7.4 Few-shot learning.mp4 66.33 MB
  19. z.oreilly-transformers-video-series-main/data/toxic.csv 65.62 MB
  20. Lesson 04 Natural Language Understanding with BERT/004. 4.3 The many embeddings of BERT.mp4 60.64 MB
  21. Lesson 13 Deploying Transformer Models/004. 13.3 Deploying a fine-tuned BERT model using FastAPI.mp4 57.45 MB
  22. Lesson 05 Pre-training and Fine-tuning BERT/004. 5.3 Fine-tuning BERT to solve NLP tasks.mp4 56.48 MB
  23. Lesson 12 The Vision Transformer/002. 12.1 Introduction to the Vision Transformer (ViT).mp4 54.24 MB
  24. Lesson 13 Deploying Transformer Models/002. 13.1 Introduction to MLOps.mp4 53.41 MB
  25. Lesson 05 Pre-training and Fine-tuning BERT/002. 5.1 The Masked Language Modeling Task.mp4 51.48 MB
  26. Lesson 06 Hands-on BERT/002. 6.1 Flavors of BERT.mp4 48.29 MB
  27. Lesson 03 Transfer Learning/002. 3.1 Introduction to Transfer Learning.mp4 47.27 MB
  28. Lesson 03 Transfer Learning/003. 3.2 Introduction to PyTorch.mp4 46.55 MB
  29. Lesson 05 Pre-training and Fine-tuning BERT/003. 5.2 The Next Sentence Prediction Task.mp4 46.07 MB
  30. Lesson 07 Natural Language Generation with GPT/004. 7.3 Pre-training GPT.mp4 37.08 MB
  31. z.oreilly-transformers-video-series-main/notebooks/12 Vision_transformer.ipynb 31.81 MB
  32. z.oreilly-transformers-video-series-main/notebooks/.ipynb_checkpoints/12 Vision_transformer-checkpoint.ipynb 31.81 MB
  33. Lesson 01 Introduction to Attention and Language Models/002. 1.1 A brief history of NLP.mp4 29.51 MB
  34. Lesson 01 Introduction to Attention and Language Models/003. 1.2 Paying attention with attention.mp4 26.58 MB
  35. Lesson 10 T5 - Back to Basics/002. 10.1 Encoders and decoders welcome T5 s architecture.mp4 24.46 MB
  36. Lesson 01 Introduction to Attention and Language Models/005. 1.4 How language models look at text.mp4 24.25 MB
  37. z.oreilly-transformers-video-series-main/data/qa.csv 23.87 MB
  38. Introduction/001. Introduction to Transformer Models for NLP Introduction.mp4 21.53 MB
  39. Lesson 01 Introduction to Attention and Language Models/004. 1.3 Encoder-decoder architectures.mp4 20.72 MB
  40. Lesson 03 Transfer Learning/004. 3.3 Fine-tuning transformers with PyTorch.mp4 18.86 MB
  41. Lesson 10 T5 - Back to Basics/003. 10.2 Cross-attention.mp4 18.25 MB
  42. z.oreilly-transformers-video-series-main/data/reviews.csv 13.20 MB
  43. Summary/001. Introduction to Transformer Models for NLP Summary.mp4 11.73 MB
  44. Lesson 02 How Transformers Use Attention to Process Text/002. 2.1 Introduction to transformers.mp4 8.33 MB
  45. z.oreilly-transformers-video-series-main/data/rocks.jpg 7.38 MB
  46. z.oreilly-transformers-video-series-main/notebooks/2 Transformers.ipynb 7.37 MB
  47. z.oreilly-transformers-video-series-main/notebooks/.ipynb_checkpoints/2 Transformers-checkpoint.ipynb 7.37 MB
  48. Lesson 02 How Transformers Use Attention to Process Text/001. Topics.mp4 7.33 MB
  49. Lesson 01 Introduction to Attention and Language Models/001. Topics.mp4 5.78 MB
  50. Lesson 07 Natural Language Generation with GPT/001. Topics.mp4 5.73 MB

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