Production Development with DeepSeek : Building and deploying scalable DeepSeek models with LoRA, QLoRA, and Docker (English Edition)
Description Multimodal models like DeepSeek are redefining what modern systems can achieve. With its reinforcement learning driven architecture, DeepSeek represents a new shift in adaptability, efficiency, and real-world intelligence making it highly useful for today's developers, engineers, an...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Mynediad Ar-lein: | Accès Université d'Orléans et IFPM |
| Nodyn: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365891782.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Production Development with DeepSeek, Building and deploying scalable DeepSeek models with LoRA, QLoRA, and Docker (English Edition), Thirumalesh Konathala, New Delhi, BPB Publications, 2025, 1 vol. (318 p.), 978-93-6589-178-2 |
Tabl Cynhwysion:
- 1. Introduction to DeepSeek
- 2. Understanding the Essentials of DeepSeek
- 3. Overview of DeepSeek Models and Types
- 4. Production Approaches
- 5. Setup and Environment
- 6. Supervised Fine-tuning
- 7. Reinforcement Learning from Human Feedback
- 8. Deploying DeepSeek with Inference and RAG
- 9. Deploying DeepSeek with Cloud, Multimodal and Agents
- 10. Dockerization and Real-world Applications