Foundation Model Engineering: Master Data Preparation, Model Training, Fine-Tuning, Evaluation, and Scalable Deployment
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Foundation Model Engineering: Master Data Preparation, Model Training, Fine-Tuning, Evaluation, and Scalable Deployment

by Nicholas Whitmore

Education Technology Computer Science
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Foundation Model Engineering surveys the essential stages of working with foundation models, including data preparation, training, fine-tuning, evaluation, and scalable deployment. It offers a structured introduction to the engineering processes behind developing and putting these models into practical use.

About This Book

Foundation Model Engineering presents a broad overview of the workflows involved in developing and operating foundation models.

The book covers data preparation, model training, fine-tuning, and evaluation as connected stages of the engineering process.

It also addresses scalable deployment, bringing attention to the practical considerations involved in making models available beyond development environments.

Designed for readers exploring foundation model development, the book organizes its focus around the technical lifecycle of these systems.

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I will be using this book for: