Luca Zavarella
Head of Data & AI at iCubed | Microsoft MVP for Data Platform | Book Author | Contributor at Towards Data Science
Book Recommendations:
Recommended by Luca Zavarella
“This book is like a roadmap that will take you from the ABC's of Generative AI to practical applications that can revolutionize the way we work, study, and even market products! Key Highlights: Start your AI journey with a rock-solid foundation. No jargon, just clear and simple explanations! Enhance your daily life with ChatGPT! Imagine having a virtual assistant for tasks ranging from drafting emails to whipping up delicious recipes. Calling all developers and marketers! Gain insight into how ChatGPT can help with code generation, documentation, A/B testing, SEO, and more. Your toolbox is about to get a major upgrade. Go beyond the basics with enterprise-level applications. Discover how ChatGPT can redefine mission-critical tasks like contract analysis and call center metrics, all powered by Microsoft's Azure OpenAI. Don't just take my word for it; this book provides practical Python scripts and user interfaces, making it a hands-on guide for anyone who wants actionable insights. Fair warning: If you're an AI whiz looking for a deep technical dive, this might not be for you. But if you're new to the subject or interested in application-oriented learning, this is a great resource. Don't miss out on unlocking the full potential of generative AI and ChatGPT!” (from Amazon)
by Valentina Alto·You?
Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features: Explore the theory behind generative AI models and the road to GPT3 and GPT4Become familiar with ChatGPT's applications to boost everyday productivityLearn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description: Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What You Will Learn: Understand generative AI concepts from basic to intermediate levelFocus on the GPT architecture for generative AI modelsMaximize ChatGPT's value with an effective prompt designExplore applications and use cases of ChatGPTUse OpenAI models and features via API callsBuild and deploy generative AI systems with PythonLeverage Azure infrastructure for enterprise-level use casesEnsure responsible AI and ethics in generative AI systems Who this book is for: This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain - all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.