Get SH*T Done with Prompt Engineering and LangChain
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Get SH*T Done with Prompt Engineering and LangChain

Build AI Applications with ChatGPT in Python

About the Book

"Get SH*T Done with Prompt Engineering and LangChain: Build AI Applications with ChatGPT in Python" is a comprehensive guide for developers and data scientists to build AI applications using Prompt Engineering and the LangChain library. The book provides step-by-step instructions and real-world examples to help readers understand the concepts and build applications using Prompt Engineering and LangChain.

You will learn how to leverage the power of Prompt Engineering and LangChain to build AI applications that can perform various tasks, such as generating conversational responses, summarizing long texts, and answering questions on your own PDFs. The book also covers how to embed documents and create an index with Chroma, which allows for fast retrieval of relevant information.

The book assumes some prior knowledge of Python programming and natural language processing, but it is accessible to beginners and experts alike. By the end of the book, readers will have a deep understanding of how to build advanced AI applications using ChatGPT in Python, making them ready to tackle real-world problems and get SH*T done!

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    • GPT
    • Artificial Intelligence
    • Machine Learning
    • Python
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About the Author

Venelin Valkov
Venelin Valkov

Hello there!

I'm excited to welcome you to the wonderful world of Machine Learning! My name is Venelin and I'm thrilled to be your guide on this journey.

With over 5 years of experience in Machine Learning and 10+ years in Software Development, I have worked on several exciting projects, ranging from sentiment analysis, price prediction, and document text extraction to training Object Detection algorithms. Currently, my focus is on Large Language Models such as ChatGPT, which has been a fascinating area of exploration for me.

I look forward to sharing my knowledge and experience with you and helping you discover the limitless possibilities that Machine Learning offers. Let's embark on this adventure together!

Table of Contents

  • Prompt Engineering
    • Why is it important?
    • What is a Prompt?
    • Prompt Structure
    • Example Prompts
    • Input and Output Format
    Large Language Models
    • Tokens
    • Techniques for optimizing LLM performance
    Use Cases
    • Outline a Topic
    • Write Email
    • Write and Explain Code
    • Social Media Marketing
    • Summarization
    • LangChain Quickstart
    • Load Custom Data with Loaders
    • Add AI with Models
    • Make LLMs Useful with Chains
    • Complex Tasks with Agents
    • Private GPT4All: Chat with PDF Files Using Free LLM
    • CryptoGPT: Crypto Twitter Sentiment Analysis

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