Based on years of work with medium to large organizations at Thoughtworks, author Valentina Servile explains how to perform safe and reliable deployments with no manual gate to production.
This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning,... Læs mere
This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of large language models (LLMs) and generative AI today and in the future, using storytelling and illustrative use cases in healthcare.
This book provides the first comprehensive method for hybrid multicloud security, integrating proven architectural techniques to deliver a comprehensive end-to-end security method with compliance, threat modeling, and zero trust practices.
This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work.
Whether you currently work to create products and services that use machine learning, or would like to in the future, this practical book teaches you the basics and advanced aspects of the production ML lifecycle.
Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases.
This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.