Account
Orders
Advanced search
Building and Deploying Ethical AI-Powered Solutions
Louise Reader
Read on Louise Reader App.
This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.
The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.
The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.
What You Will Learn
Who This Book Is For
From AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation
Les livres numériques peuvent être téléchargés depuis l'ebookstore Numilog ou directement depuis une tablette ou smartphone.
PDF : format reprenant la maquette originale du livre ; lecture recommandée sur ordinateur et tablette EPUB : format de texte repositionnable ; lecture sur tous supports (ordinateur, tablette, smartphone, liseuse)
DRM Adobe LCP
LCP DRM Adobe
This ebook is DRM protected.
LCP system provides a simplified access to ebooks: an activation key associated with your customer account allows you to open them immediately.
ebooks downloaded with LCP system can be read on:
Adobe DRM associates a file with a personal account (Adobe ID). Once your reading device is activated with your Adobe ID, your ebook can be opened with any compatible reading application.
ebooks downloaded with Adobe DRM can be read on:
mobile-and-tablet To check the compatibility with your devices,see help page
Pramod Singh is an expert Associate Partner at Bain & Company, where he leads the Data Science & Machine Learning guild in the Asia Pacific region as part of Bain's Advanced Analytics Group. With over 15 years of experience in Data Science, Pramod specializes in building large-scale machine learning systems and leading advanced analytics teams. He also heads Bain’s Generative AI ringfence group in APAC and is a published author of five books in machine learning and distributed computing.
In his role, Pramod engages with Bain’s clients across various industries and geographic locations, including India, Australia, Singapore, Thailand, South Korea, and the wider Asia Pacific region. Over his four year tenure at Bain & Co., he has advised clients on Generative AI solutions, large-scale ML deployments, analytics adoption, tech stack overhauls, data strategy, and responsible AI. His deep industry expertise extends to the retail, telecom, and financial services sectors.
James McKeone is a dedicated data scientist with a passion for solving real-world problems. He excels in crafting innovative solutions and defining architectures for end-to-end data science products. Specializing in Generative AI development, James thrives on leading cutting-edge projects and building effective teams. With extensive experience in writing data science solutions and managing teams, he has successfully delivered projects to stakeholders at all levels. James brings cross-disciplinary expertise from various industries and is committed to achieving measurable results through innovation and collaboration. He has a proven track record of delivering successful data science solutions to stakeholders across various levels of seniority, from technical teams to boards of some of Australia's largest companies. As a leader, he has managed teams of up to five data scientists and data engineers, fostering a culture of safety and active feedback within his teams.
Sign up to get our latest ebook recommendations and special offers