Project Title

prompt-engineering — A Comprehensive Guide to Working with Large Language Models

Overview

The prompt-engineering project is a repository of tips, tricks, and strategies for effectively working with Large Language Models (LLMs), such as OpenAI's GPT-4. Created by Brex, this guide offers insights into the history of LLMs, the concept of prompts, and practical advice on prompt engineering. It stands out for its focus on real-world applications and evolving best practices in the field.

Key Features

In-depth history of language models and their evolution
Detailed explanation of what constitutes a prompt and its importance
Strategies for embedding data, citations, and programmatic consumption
Techniques for fine-tuning prompts and leveraging the chain of thought

Use Cases

Researchers and developers looking to understand and improve their interactions with LLMs
Teams aiming to build programmatic systems on top of large language models for production use cases
Educators and students studying the capabilities and limitations of LLMs in natural language processing

Advantages

Provides a living document that evolves with the state-of-the-art best practices in LLMs
Offers practical examples and strategies for prompt engineering
Encourages discussion and suggestions for improvements, fostering a community of practice

Limitations / Considerations

The examples provided are generated with a non-deterministic language model, which may yield different results
The guide is based on Brex's internal research and may not cover all possible use cases or strategies
The field of LLMs is rapidly evolving, so some information may become outdated quickly

Hugging Face's Transformers: A library of pre-trained models for Natural Language Processing, which can be used in conjunction with prompt engineering techniques.
OpenAI's GPT: The original GPT model repository, which serves as a basis for understanding the evolution of LLMs.
EleutherAI's GPT-Neo: An open-source implementation of a large-capacity transformer model, which can be used to explore prompt engineering in a community-driven context.

Basic Information

GitHub: https://github.com/brexhq/prompt-engineering
Stars: 9,318
License: Unknown
Last Commit: 2025-09-23

📊 Project Information

Project Name: prompt-engineering
GitHub URL: https://github.com/brexhq/prompt-engineering
Programming Language: Unknown
⭐ Stars: 9,318
🍴 Forks: 490
📅 Created: 2023-04-21
🔄 Last Updated: 2025-09-23

🏷️ Project Topics

Topics: [, ]

📚 Documentation

Brex's
OpenAI's GPT-4
What is a Large Language Model?
A Brief, Incomplete, and Somewhat Incorrect History of Language Models
Pre-2000’s

This article is automatically generated by AI based on GitHub project information and README content analysis

prompt-engineering

Project Description