Building LLMs with PyTorch : A step-by-step guide to building advanced AI models with PyTorch (English Edition)
Description: PyTorch has become the go-to framework for building cutting-edge large language models (LLMs), enabling developers to harness the power of deep learning for natural language processing. This book serves as your practical guide to navigating the intricacies of PyTorch, empowering you to...
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| Главный автор: | |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Online-ссылка: | Accès Université d'Orléans et IFPM |
| Примечание: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365898255.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Building LLMs with PyTorch, A step-by-step guide to building advanced AI models with PyTorch (English Edition), Anand Trivedi, New Delhi, BPB Publications, 2025, 1 vol. (606 p.), 978-93-6589-825-5 |
Оглавление:
- 1. Introduction to Deep Learning
- 2. Nuts and Bolts of AI with PyTorch
- 3. Introduction to Convolution Neural Network
- 4. Model Building with Custom Layers and PyTorch 2.0
- 5. Advances in Computer Vision: Transfer Learning and Object Detection
- 6. Advanced Object Detection and Segmentation
- 7. Mastering Object Detection with Detectron2
- 8. Introduction to RNNs and LSTMs
- 9. Understanding Text Processing and Generation in Machine Learning
- 10. Transformers Unleashed
- 11. Introduction to GANs: Building Blocks of Generative Models
- 12. Conditional GANs, Latent Spaces, and Diffusion Models
- 13. PyTorch 2.0: New Features, Efficient CUDA Usage, and Accelerated Model Training
- 14. Building Large Language Models from Scratch