Awesome-Prompt-Engineering and Prompt_Engineering
These are complementary resources that together provide both curated collections of prompting strategies (A) and hands-on tutorials with implementations (B), allowing learners to discover techniques and then understand how to apply them in practice.
About Awesome-Prompt-Engineering
promptslab/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
This is a curated collection of resources for anyone looking to improve how they interact with Large Language Models (LLMs) like ChatGPT or PaLM. It gathers papers, tools, models, APIs, and courses related to 'prompt engineering' and 'context engineering.' The goal is to help users get better, more specific, or more creative outputs from these AI models.
About Prompt_Engineering
NirDiamant/Prompt_Engineering
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
This project provides tutorials and practical examples for crafting effective instructions to large language models (LLMs). It helps AI developers and practitioners learn how to structure their input so that AI models produce more accurate, relevant, and useful outputs. You'll find guidance on what to include in your prompts and how to refine them for better results.
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