Pretrain Vision and Large Language Models in Python
Foundation models are the future of machine learning and the backbone of Generative AI. Pretrain Vision and Large Language Models in Python provides you with the conceptual fundamentals, industry-proven best practices, and code snippets you need to help you get started on your large modeling projects at work, in research labs, or just for fun.
Offered by
Difficulty Level
Intermediate
Completion Time
8h36m
Language
English
About Book
Who Is This Book For?
If you’re a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.
Pretrain Vision and Large Language Models in Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 8h36m total length
An Introduction to Pretraining Foundation Models
Dataset Preparation: Part One
Model Preparation
Containers and Accelerators on the Cloud
Distribution Fundamentals
Dataset Preparation: Part Two, the Data Loader
Finding the Right Hyperparameters
Large-Scale Training on SageMaker
Advanced Training Concepts
Fine-Tuning and Evaluating
Detecting, Mitigating, and Monitoring Bias
How to Deploy Your Model
Prompt Engineering
MLOps for Vision and Language
Future Trends in Pretraining Foundation Models
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