Pretrain Vision and Large Language Models in Python

Pretrain Vision and Large Language Models in Python
Author :
Publisher : Packt Publishing Ltd
Total Pages : 258
Release :
ISBN-10 : 9781804612545
ISBN-13 : 1804612545
Rating : 4/5 (45 Downloads)

Book Synopsis Pretrain Vision and Large Language Models in Python by : Emily Webber

Download or read book Pretrain Vision and Large Language Models in Python written by Emily Webber and published by Packt Publishing Ltd. This book was released on 2023-05-31 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of training vision and large language models with conceptual fundaments and industry-expert guidance. Learn about AWS services and design patterns, with relevant coding examples Key Features Learn to develop, train, tune, and apply foundation models with optimized end-to-end pipelines Explore large-scale distributed training for models and datasets with AWS and SageMaker examples Evaluate, deploy, and operationalize your custom models with bias detection and pipeline monitoring Book Description Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization. With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you'll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models. You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines. By the end of this book, you'll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future. What you will learn Find the right use cases and datasets for pretraining and fine-tuning Prepare for large-scale training with custom accelerators and GPUs Configure environments on AWS and SageMaker to maximize performance Select hyperparameters based on your model and constraints Distribute your model and dataset using many types of parallelism Avoid pitfalls with job restarts, intermittent health checks, and more Evaluate your model with quantitative and qualitative insights Deploy your models with runtime improvements and monitoring pipelines Who this book is 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 Related Books

Pretrain Vision and Large Language Models in Python
Language: en
Pages: 258
Authors: Emily Webber
Categories: Computers
Type: BOOK - Published: 2023-05-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Master the art of training vision and large language models with conceptual fundaments and industry-expert guidance. Learn about AWS services and design pattern
Time Series Indexing
Language: en
Pages: 249
Authors: Mihalis Tsoukalos
Categories: Technology & Engineering
Type: BOOK - Published: 2023-06-30 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Build and use the most popular time series index available today with Python to search and join time series at the subsequence level Purchase of the print or Ki
The Regularization Cookbook
Language: en
Pages: 424
Authors: Vincent Vandenbussche
Categories: Mathematics
Type: BOOK - Published: 2023-07-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3
Transformers for Natural Language Processing and Computer Vision
Language: en
Pages: 731
Authors: Denis Rothman
Categories: Computers
Type: BOOK - Published: 2024-02-29 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and imp
Deep Learning
Language: en
Pages: 261
Authors: Rob Botwright
Categories: Computers
Type: BOOK - Published: 101-01-01 - Publisher: Rob Botwright

DOWNLOAD EBOOK

Introducing the Ultimate AI Book Bundle: Deep Learning, Computer Vision, Python Machine Learning, and Neural Networks Are you ready to embark on an exhilarating