Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Unlocking the Secrets of Prompt Engineering
  • Table Of Contents Toc
  • Feedback & Rating feedback
Unlocking the Secrets of Prompt Engineering

Unlocking the Secrets of Prompt Engineering

By : Gilbert Mizrahi
4.6 (16)
close
close
Unlocking the Secrets of Prompt Engineering

Unlocking the Secrets of Prompt Engineering

4.6 (16)
By: Gilbert Mizrahi

Overview of this book

Unlocking the Secrets of Prompt Engineering is your key to mastering the art of AI-driven writing. This book propels you into the world of large language models (LLMs), empowering you to create and apply prompts effectively for diverse applications, from revolutionizing content creation and chatbots to coding assistance. Starting with the fundamentals of prompt engineering, this guide provides a solid foundation in LLM prompts, their components, and applications. Through practical examples and use cases, you'll discover how LLMs can be used for generating product descriptions, personalized emails, social media posts, and even creative writing projects like fiction and poetry. The book covers advanced use cases such as creating and promoting podcasts, integrating LLMs with other tools, and using AI for chatbot development. But that’s not all. You'll also delve into the ethical considerations, best practices, and limitations of using LLM prompts as you experiment and optimize your approach for best results. By the end of this book, you'll have unlocked the full potential of AI in writing and content creation to generate ideas, overcome writer's block, boost productivity, and improve communication skills.
Table of Contents (18 chapters)
close
close
Free Chapter
1
Part 1:Introduction to Prompt Engineering
4
Part 2:Basic Prompt Engineering Techniques
8
Part 3: Advanced Use Cases for Different Industries
13
Part 4:Ethics, Limitations, and Future Developments

Making sense of unstructured data – pattern matching for information extraction

Pattern matching in responses involves the process of taking unstructured text as input and producing a structured output by identifying and extracting relevant patterns or information.

Now, let’s look at an example to illustrate how pattern matching can be used in this context.

Let’s consider a scenario where the input is an unstructured text containing information about a person, including their name, age, and occupation. The goal is to extract and structure this information into a more organized format.

Here’s the unstructured text input:

John Smith is a 35-year-old software engineer.

In this case, pattern matching can be employed to identify specific patterns or keywords that correspond to the desired information. For instance, we can define patterns such as [name] is a [age]-year-old [occupation] to capture the relevant details.

By applying pattern matching...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY