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Natural Language Processing on Oracle Cloud Infrastructure

Om Natural Language Processing on Oracle Cloud Infrastructure

This book demonstrates how to use Oracle Cloud Infrastructure (OCI) and Hugging Face technologies to develop advanced NLP solutions. Through a practical case study, it addresses common NLP challenges and offers strategies for creating efficient, cost-effective transformer-based models. By the end of this book, you will have the skills and knowledge to create cutting-edge NLP solutions on OCI, customized to meet the needs of various industries and projects. The book takes you through the complete NLP solution life cycle-covering data preparation, model fine-tuning, deployment, and monitoring-while highlighting key topics such as cost-effectiveness and responsible AI for NLP implementations. Drawing from real-world experience and offering practical insights, it bridges the gap between theory and practice, equipping you to design and deploy scalable, cost-efficient NLP solutions. What You Will Learn Master key NLP concepts and the OCI ecosystem Create high-quality datasets using Hugging Face and OCI Data Labeling Service Fine-tune domain-specific pre-trained models from Hugging Face using OCI Data Science Notebook Sessions Deploy and operationalize your models with OCI Data Science Model Deployments Automate the NLP life cycle with OCI Data Science Pipelines Implement cost-effective strategies throughout the entire NLP life cycle, from dataset preparation to model training and deployment

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  • Språk:
  • Engelsk
  • ISBN:
  • 9798868810725
  • Bindende:
  • Paperback
  • Sider:
  • 402
  • Utgitt:
  • 13. januar 2025
  • Dimensjoner:
  • 178x254x0 mm.
  Gratis frakt
Leveringstid: Kan forhåndsbestilles
Utvidet returrett til 31. januar 2025
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Beskrivelse av Natural Language Processing on Oracle Cloud Infrastructure

This book demonstrates how to use Oracle Cloud Infrastructure (OCI) and Hugging Face technologies to develop advanced NLP solutions. Through a practical case study, it addresses common NLP challenges and offers strategies for creating efficient, cost-effective transformer-based models. By the end of this book, you will have the skills and knowledge to create cutting-edge NLP solutions on OCI, customized to meet the needs of various industries and projects.
The book takes you through the complete NLP solution life cycle-covering data preparation, model fine-tuning, deployment, and monitoring-while highlighting key topics such as cost-effectiveness and responsible AI for NLP implementations. Drawing from real-world experience and offering practical insights, it bridges the gap between theory and practice, equipping you to design and deploy scalable, cost-efficient NLP solutions.
What You Will Learn
Master key NLP concepts and the OCI ecosystem
Create high-quality datasets using Hugging Face and OCI Data Labeling Service
Fine-tune domain-specific pre-trained models from Hugging Face using OCI Data Science Notebook Sessions
Deploy and operationalize your models with OCI Data Science Model Deployments
Automate the NLP life cycle with OCI Data Science Pipelines
Implement cost-effective strategies throughout the entire NLP life cycle, from dataset preparation to model training and deployment

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