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

• Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
• Valentina Alto
• Page: 286
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781805123330
• Publisher: Packt Publishing

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Download free books in pdf format Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 MOBI DJVU FB2 English version 9781805123330

Empower Your Business with the Unmatched Potential of Generative AI through the Integration of ChatGPT and OpenAI Models' APIs. Take Your Organization to the Next Level with Innovative Real-World Applications and Unprecedented Productivity Boosts, Powered by the Latest Advancements in AI Technology Understand the theory of Generative AI models and the path to GPT-3 Discover ChatGPT's practical applications for boosting daily productivity Learn how to scale OpenAI models for enterprise-level applications The book begins by introducing the field of Generative AI, which focuses on creating new and unique data or content using machine learning algorithms. It covers the basics of Generative AI models, and explains how these models are trained to generate new data. Next, it focuses on concrete use cases on how ChatGPT can boost productivity and enhance creativity. This section also dwells on how to get the best from your ChatGPT interaction by improving your prompt design and leveraging zero, one and few-shots learning capabilities. The book then continues with a zoom on the above use cases clustered by domains: Marketers, Researchers and Developers/Data Scientists. Each domain will have 4 concrete use cases you can easily replicate on your own. Next, from individual use cases, the book moves towards enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure. The book will also focuses on end-to-end scenarios of an existing customer story, as well as responsible AI implications. Finally, the book will recap the main elements discussed above, and make some reflections on what's coming next in the field of Generative AI. By the end of this book, you'll have the knowledge to both delve deeper into the Generative AI field and start using ChatGPT and OpenAI models' API in your own projects. Understanding of generative AI concepts from basic to intermediate level Focus on GPT architecture for generative AI models Maximize ChatGPT value with an effective prompt design Explore applications and use cases of ChatGPT Use OpenAI models and features via API calls Build and deploy generative AI systems with Python Leverage Azure infrastructure for enterprise-level use cases Ensure Responsible AI and ethics in generative AI systems This book addresses a heterogeneous audience. General user who are interested in boosting their daily productivity with ChatGPT and OpenAI and diving deeper into the technology and model architecture behind ChatGPT; Business user who wants to get deeper into real-world applications of ChatGPT and OpenAI models and how it can empower their organizations; Data scientist and developers who want to dive deeper into the ways ChatGPT and OpenAI models could boost their ML models and code; Marketers and researchers who want to dive deeper into OpenAI and ChatGPT use cases in their domain. Introduction to Generative AI Openai and ChatGPT: beyond the market hype ChatGPT account setup Prompt design Boosting day-by-day productivity with ChatGPY ChatGPT for Developers ChatGPT for Marketers ChatGPT for Researchers OpenAI and ChatGPT for enterprises: introducing Azure OpenAI Enterprise use cases Epilogue and final thoughts

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