Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

"Modern Generative AI with ChatGPT and OpenAI Models" was a surprisingly enlightening read for someone like me, who's relatively new to the whole AI scene. When I first picked up this book, I wasn't sure what to expect. Terms like 'generative AI' and 'GPT models' sounded daunting, and I worried it might be too technical for me. But I was pleasantly surprised by how accessible and understandable the content was.The book starts with the basics, gently introducing the concept of generative AI, which I appreciated. It didn't assume much prior knowledge, making it easier for a beginner like me to grasp the fundamentals. The sections on prompt design were eye-opening, showing me how to communicate effectively with AI, something I hadn't considered before.What stood out to me was the practical applications the book covered. It didn't just stick to theory; it showed how AI could be used to improve productivity, enhance research methods, and even better one's writing skills. As someone who's always looking for ways to be more efficient and creative, these insights were incredibly valuable.

Generative AI with ChatGPT and OpenAI are major milestones and unavoidable tools. These technologies are taking every industry to different levels and huge benefits to building ground-breaking applications, in this book the author has given the essence of generative AI along with the fundamentals of generative AI, ChatGPT and OpenAI precisely for new learners in an incredible way by splitting the topics to narrow down to the point of view and keeping readers mindset in his thoughts and delivered the same.Part 1: Fundamentals of Generative AI and GPT Models - The author has geared up the basic understanding of AI, ML, DL and where generative AI stands and how different domains benefit from it, in the form of transforming the business and improving and making existing processes and operations more efficient ways in the text, image, video and music generation. The author has outlined the —ChatGPT, highlighting its history, technology, and capabilities in crystal clear form.The author has given to the point What is OpenAI? without any confusion and jargon to know for better understanding. Alongside the author has heads-up with OpenAI APIs, models like Moderation, Embeddings and Whisper are amazing stuff for readers.“Road to ChatGPT: the math of the model behind it” - I would suggest that readers and learners must read this topic for the best understanding of ChatGPT.Part 2: ChatGPT in ActionThis part is the core of this entire book, the author takes us on a big tour of ChatGPT. By starting with how to familiarise yourself with ChatGPT right from Setting up a ChatGPT account and exploring ChatGPT UI environments. And moving to prompt design capabilities by giving “Prompt refers to the input the user provides to the generative models.” Followed by a what and why prompt is important.Here are some best practices on how you can use them to improve your prompt performance and how to avoid risk, as well as some practices you should avoid during the utilisation of ChatGPT.Neat guidance on Do's and Don'ts while designing your prompt. Techniques for boosting day-to-day productivity with ChatGPT in various aspects.Please remember that the author touches on the most important mind-blowing capabilities of ChatGPT and how to deal with multiple programming languages like Python, but the list is huge. It helps us to generate code, optimise and debug the code, generate documentation and code explainability and additional ML model interpretability capabilities.The author gives not only the technical capabilities of ChatGPT but also provides how marketers can leverage ChatGPT as a valuable assistant. One another topic is “New product development and the GTM strategy” must read, the author is giving perfect guidance on this for marketers additionally, A/B testing for marketing comparison and followed by Research Reinvented with ChatGPT is a power pack for researchers and many more privileges are ample for ChatGPT learners like Generating a presentation, formatting a bibliography, etc.Part 3: OpenAI for EnterprisesThe author has given a detailed introduction to the partnership of OpenAI and Microsoft Azure OpenAI (AOAI) service scalability, flexibility, and security typical of cloud-scale architectures and plays around with the AIAO environment. Understanding responsible AI with Microsoft and how Azure OpenAI is being used at the enterprise level in various domains and building products like contract analyzer and generator, analyzing language, flagging potential issues and Providing contract templates with classical coding and implementation. Surely learners can try all these samples and understand how AIAO and realize the full benefits of Azure OpenAI.Overall … I can give 4.5/5.0 for this. Certainly, a special effort from the author is much appreciable.-Shanthababu PandianArtificial Intelligence and Analytics | Cloud Data and ML Architect | Scrum Master National and International Speaker | Blogger |

The book is non-technical historical overview of OpenAI and it's usage with Azure. There is an entire chapter dedicated to history of Azure and OpenAI and how the two have merged etc. Screenshots of Azure OpenAI interface is extremely small and barely readable. Everything is available on Azure OpenAI docs. Probably appropriate for anyone looking for something non-technical and who has zero knowledge of anything related to Chatgpt etc. Also the 'Generative AI' bit in the title is misleading as nothing besides the OpenAI playground dealing with ChatGPT is discussed. I wouldn't recommend this book

Excelente libro para empezar en estos temas, trae algunos ejemplos con código, te da ideas de los problemas que pudiera resolver y herramientas que puedes usar.

"Generative AI with ChatGPT: Building Language Models for Productivity and Applications" is a comprehensive guide that delves into the theory and practical implementation of generative AI models, with a specific focus on OpenAI's ChatGPT. Authored by experts in the field, this book offers valuable insights into the inner workings of language models and equips readers with the knowledge and skills necessary to create their own models.The book starts by introducing the concept of generative AI and provides a clear explanation of how these models are trained to generate new data. The authors effectively break down complex concepts, making them accessible even to readers with a basic understanding of Python. The gradual progression from basic to intermediate level concepts ensures a smooth learning curve.One of the book's notable strengths lies in its emphasis on real-world applications. It explores various use cases where ChatGPT can significantly boost productivity and enhance creativity across different domains such as marketing, research, and development. By showcasing practical examples and offering insights into prompt design and zero, one, and few-shot learning techniques, the book empowers readers to maximize the potential of ChatGPT in their own projects.Furthermore, the integration of OpenAI models, including both generative models like GPT-3 and embedding models like Ada, into enterprise-level scenarios is a noteworthy aspect of this book. The authors guide readers through implementing end-to-end solutions using Python, Streamlit as the frontend, and the LangChain SDK for seamless integration. This comprehensive approach ensures that readers gain a thorough understanding of how to leverage OpenAI models' APIs within their own applications.Moreover, the book addresses the importance of responsible AI and ethics in generative AI systems. By highlighting these considerations, the authors emphasize the need to develop AI models in an ethical and accountable manner, promoting a well-rounded understanding of the field.In terms of the target audience, the book caters to a wide range of readers. It appeals to individuals seeking to enhance their daily productivity, business professionals aiming to leverage AI applications within their organizations, data scientists and developers looking to optimize ML models and code, as well as marketers and researchers interested in domain-specific use cases. The inclusion of theoretical descriptions alongside practical code sections ensures that readers can grasp both the underlying concepts and their concrete applications.However, it is important to note that a basic understanding of Python is required to fully benefit from the book's content. While the authors provide explanations and code snippets, readers without prior Python knowledge may face challenges in grasping the more technical aspects.In conclusion, "Generative AI with ChatGPT: Building Language Models for Productivity and Applications" is a valuable resource for anyone interested in harnessing the power of generative AI. The book offers a comprehensive exploration of generative AI concepts, an in-depth focus on ChatGPT, and practical guidance on implementing AI models in real-world scenarios. With its clear explanations, use case examples, and ethical considerations, this book equips readers with the necessary knowledge and skills to leverage ChatGPT and OpenAI models' APIs effectively.

Senza farvi perdere tempo sperimentando alla rinfusa, Valentina vi spiega con casi pratici come interagire con il prompt in maniera efficace e continua. Inoltre da anche un sacco di insight su quello che sta avvenendo e su cosa possiamo aspettarci nei prossimi mesi

There are a couple of chapters that try to explain how ChatGPT works, but they are full of cryptic, awful writing. Actual example sentence: "Let's imagine we want to predict a house price. If we had only today's price for it, we could use a feedforward architecture where we apply a non-linear transformation to the input via a hidden layer (with an activation function) and get as output the forecast of the price for tomorrow." (accompanied by very simplistic blurry image).Most of the rest of the book is suggestions for ChatGPT prompts, without insights on how ChatGPT works.

Code based on out-of-date API