{"product_id":"pretrain-vision-and-large-language-models-in-python-end-to-end-techniques-for-building-and-deploying-foundation-models-on-aws-paperback-1","title":"Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEmily Webber\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMaster 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\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn to develop, train, tune, and apply foundation models with optimized end-to-end pipelines.\u003c\/li\u003e\n\u003cli\u003eExplore large-scale distributed training for models and datasets with AWS and SageMaker examples.\u003c\/li\u003e\n\u003cli\u003eEvaluate, deploy, and operationalize your custom models with bias detection and pipeline monitoring.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFoundation 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWith 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eFind the right use cases and datasets for pretraining and fine-tuning\u003c\/li\u003e\n\u003cli\u003ePrepare for large-scale training with custom accelerators and GPUs\u003c\/li\u003e\n\u003cli\u003eConfigure environments on AWS and SageMaker to maximize performance\u003c\/li\u003e\n\u003cli\u003eSelect hyperparameters based on your model and constraints\u003c\/li\u003e\n\u003cli\u003eDistribute your model and dataset using many types of parallelism\u003c\/li\u003e\n\u003cli\u003eAvoid pitfalls with job restarts, intermittent health checks, and more\u003c\/li\u003e\n\u003cli\u003eEvaluate your model with quantitative and qualitative insights\u003c\/li\u003e\n\u003cli\u003eDeploy your models with runtime improvements and monitoring pipelines\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eIf 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 258\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.54 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 31, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47211993956601,"sku":"9781804618257","price":74.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/N1dMa2dUNjAxY0dpdGpjUGhQZy96Zz09_ff6475b7-9977-429b-b093-70346632b0ec.webp?v=1768087808","url":"https:\/\/bookscloud.io\/products\/pretrain-vision-and-large-language-models-in-python-end-to-end-techniques-for-building-and-deploying-foundation-models-on-aws-paperback-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}