NirDiamant/Prompt_Engineering
A collection of 22 Jupyter Notebook tutorials teaching prompt engineering techniques for large language models.
Not currently ranked — collecting fresh signals.
star history
This repository contains hands-on tutorials covering fundamental and advanced prompt engineering strategies for leveraging LLMs. It includes implementations of techniques such as chain-of-thought prompting, few-shot learning, and in-context learning, demonstrated across models like GPT, Claude, and ChatGPT. The tutorials use Python with integrations to LangChain and OpenAI, making it a practical learning resource for developers working with generative AI.
Frequently asked
- What is NirDiamant/Prompt_Engineering?
- A collection of 22 Jupyter Notebook tutorials teaching prompt engineering techniques for large language models.
- Is Prompt_Engineering open source?
- Yes — NirDiamant/Prompt_Engineering is an open-source project tracked on heatdrop.
- What language is Prompt_Engineering written in?
- NirDiamant/Prompt_Engineering is primarily written in Jupyter Notebook.
- How popular is Prompt_Engineering?
- NirDiamant/Prompt_Engineering has 7.7k stars on GitHub.
- Where can I find Prompt_Engineering?
- NirDiamant/Prompt_Engineering is on GitHub at https://github.com/NirDiamant/Prompt_Engineering.