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Modern Generative AI with ChatGPT and OpenAI Models

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

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781805123330
Length 286 pages
Edition 1st Edition
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Author (1):
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Valentina Alto Valentina Alto
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Valentina Alto
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Fundamentals of Generative AI and GPT Models
2. Chapter 1: Introduction to Generative AI FREE CHAPTER 3. Chapter 2: OpenAI and ChatGPT – Beyond the Market Hype 4. Part 2: ChatGPT in Action
5. Chapter 3: Getting Familiar with ChatGPT 6. Chapter 4: Understanding Prompt Design 7. Chapter 5: Boosting Day-to-Day Productivity with ChatGPT 8. Chapter 6: Developing the Future with ChatGPT 9. Chapter 7: Mastering Marketing with ChatGPT 10. Chapter 8: Research Reinvented with ChatGPT 11. Part 3: OpenAI for Enterprises
12. Chapter 9: OpenAI and ChatGPT for Enterprises – Introducing Azure OpenAI 13. Chapter 10: Trending Use Cases for Enterprises 14. Chapter 11: Epilogue and Final Thoughts 15. Index 16. Other Books You May Enjoy

Exploring semantic search

Semantic search is a cutting-edge search technology that has revolutionized the way people find information online. In the world of enterprise, it has become a vital tool for businesses that need to search through vast amounts of data quickly and accurately. The semantic search engine uses NLP techniques to understand the meaning of the search query and the content being searched. This technology goes beyond traditional keyword-based search engines by using ML algorithms to understand the context of the search query, resulting in more accurate and relevant results.

A key component of semantic search is the use of embedding, which is the process of representing words or phrases as numerical vectors. These vectors are generated by a neural network that analyzes the context of each word or phrase in a given text corpus. By converting words into vectors, it becomes easier to measure the semantic similarity between words and phrases, which is crucial for accurate...

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