prompt-engineering-note and Prompt-Engineering-by-OpenAI

These tools are competitors, as both are educational resources, likely GitHub repositories, offering notes or courses on prompt engineering, implying a user would choose one over the other for learning.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 19/25
Stars: 263
Forks: 38
Downloads: โ€”
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 39
Forks: 20
Downloads: โ€”
Commits (30d): 0
Language: Jupyter Notebook
License: โ€”
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About prompt-engineering-note

isLinXu/prompt-engineering-note

๐Ÿ”ฅ๐Ÿ””prompt-engineering-note๐Ÿ””๐Ÿ”ฅ

This project provides comprehensive learning notes for developers looking to master prompt engineering with Large Language Models (LLMs) like ChatGPT. It distills key principles, best practices, and practical examples for various tasks, including text summarization, sentiment analysis, language translation, and automated content generation. It's designed for software developers and AI practitioners who want to integrate and build powerful applications using OpenAI's API.

AI application development Natural Language Processing Machine Learning engineering API integration Chatbot development

About Prompt-Engineering-by-OpenAI

ArslanKAS/Prompt-Engineering-by-OpenAI

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

This project helps developers and technical professionals quickly learn how to use large language models (LLMs) like ChatGPT to create new applications. It guides you through designing effective prompts to get the desired outputs from an LLM, transforming your ideas into powerful AI-driven tools. The primary users are developers looking to integrate LLMs into their software.

LLM-application-development AI-integration prompt-design software-development natural-language-processing

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