Natural Language Processing on Oracle Cloud Infrastructure : Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face / by Hicham Assoudi.

Format:

Book

Author/Creator:

Assoudi, Hicham.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Physical Description:

1 online resource (410 pages)

Edition:

1st ed. 2024.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2024.

Summary:

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 .

Contents:

Part 1: Foundations and Case Study Introduction

Chapter 1: NLP Essentials

Chapter 2: Oracle Cloud for NLP

Chapter 3: Healthcare NLP Case Study

Part2: Case Study Implementation

Chapter 4: Tenancy Preparation

Chapter 5: Dataset Preparation

Chapter 6: Model Fine-tuning

Part 3: Case Study Deployment and Wrap-Up

Chapter 7: Model Deployment and Monitoring

Chapter 8: MLOps and Conclusion.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9798868810732

OCLC:

1481715940