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HomeA.I. MarketingModern 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: Leverage the capabilities of OpenAI’s LLM for productivity and innovation with GPT3 and GPT4

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.

From the brand Packt's Brand StoryPackt's Brand Story

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Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

Publisher ‏ : ‎ Packt Publishing (May 31, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 286 pages
ISBN-10 ‏ : ‎ 1805123335
ISBN-13 ‏ : ‎ 978-1805123330
Item Weight ‏ : ‎ 1.1 pounds
Dimensions ‏ : ‎ 9.25 x 7.52 x 0.6 inches

Artificial intelligence has made incredible advancements in recent years, with modern generative AI models like OpenAI's ChatGPT and LLM leading the charge. These models have revolutionized the way we interact with AI, enabling us to communicate with machines in a more natural and intuitive way. One of the most exciting developments in the field of generative AI is the introduction of OpenAI's Language Model (LLM). This model is a powerful tool that can generate human-like text and answer complex questions with remarkable accuracy. It leverages the capabilities of GPT3 and GPT4, two of the most advanced AI models in the world, to provide users with an unprecedented level of productivity and innovation. By harnessing the power of OpenAI's LLM, businesses and individuals can streamline their workflows, automate mundane tasks, and unlock new opportunities for creativity and innovation. For example, LLM can be used to generate high-quality articles, reports, and presentations in a fraction of the time it would take a human to do so. This can help businesses speed up their content creation process and stay ahead of the competition. In addition, LLM can be used to automate customer service interactions, providing users with instant answers to their questions and concerns. This can help businesses improve their customer service experience, increase customer satisfaction, and ultimately drive sales and revenue. Furthermore, LLM can be used to augment human creativity and innovation. By providing users with a constant stream of new ideas and suggestions, LLM can help individuals and teams come up with fresh and innovative solutions to complex problems. This can lead to breakthroughs in research and development, product design, and other areas of innovation. Overall, the integration of modern generative AI models like OpenAI's LLM into our daily lives can have a transformative impact on productivity and innovation. By leveraging the capabilities of these models, businesses and individuals can unlock new possibilities and achieve new levels of success. It's an exciting time to be alive, as we witness the power of AI to shape the future of work and creativity.

Price: $49.99 - $34.99
(as of Jun 09, 2024 06:12:05 UTC - Details)

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