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Computing & Internet      Computer Science

Crafting Effective Prompts: A Practice to Prompt Engineering

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Book Details
Language
English
Publishers
Independently published (2 Mar. 2024)
Weight
0.41 KG
Publication Date
02/03/2024
Pages
167 pages
ISBN-13
9798880435951
Dimensions
21.59 x 0.97 x 27.94 cm
SKU
9798880435951
Author Name
Subramanian Venkataraman (Author)
Subramanian Venkataraman is a distinguished professional with a Master’s Degree in Analytics and a wealth of experience in the world of Big Data Engineering, Data Science, and Data Analytics. He has also recently started learning about Generative AI, OpenAI, and Prompt Engineering. Additionally, he is an experienced Test Automation Architect who has developed and implemented automation frameworks and solutions using HP-QTP, HP-UFT, HP-ALM, Java, Selenium, and Appium. His contributions in this area have led to substantial cost savings, increased productivity, and efficient utilization of resources for his various clients in Finance, Healthcare, and Insurance.Subramanian has made his mark working with major financial clients, including Merrill Lynch, Wachovia, Credit-Suisse, Barclays, Capital One, and Citibank. His expertise extends across various domains, including Finance, Healthcare, Insurance, Telecom, and Airlines, where he has consistently delivered innovative and impactful solutions.Read more about this authorRead less about this author
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Description
Prompt engineering is indeed an art, important for you effectively communicating with Large Language Models (LLMs) to get the results you want in a certain topic or context without any ambiguityPrompt engineering is a method where we give clear instructions or questions or we will input text, which are called prompts, to guide models like GPT-4 creating specific results and display them as output. AI models have undergone extensive training on vast datasets, leading to the release of numerous models catering to various industries.

In this book, you will gain understanding on OpenAI, LLM, LLAMA2, LangChain, Transformer Model, Vector Store , HuggingFace and how to utilize them through the principles of Prompt Engineering using Prompt design techniques by solved programming examples written in Python. Upon completion of this reading, you will have gained hands on experience in Prompt engineering principles, empowering you to apply them effectively to develop new applications specific to your interest and requirements.

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