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promptengineering

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This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

  • Updated Jul 5, 2024
  • Python
LLM-Prompt-Library

A playground of highly experimental prompts, tools & scripts for machine intelligence models from DeepSeek, OpenAI, Anthropic, Meta, Mistral, Google, xAI & others. Created & maintained by Alex Bilzerian.

  • Updated Apr 23, 2025
  • Python

GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

  • Updated Apr 22, 2025
  • Python

Prompt engineering is the process of designing and refining input queries to gen AI models, like OpenAI's GPT variants, for achieving desired output. It involves optimizing the phrasing, context, and structure of prompts to improve the AI's understanding while maintaining high-quality & creative results that cater to specific app requirements.

  • Updated May 20, 2023
  • Jupyter Notebook

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