# Prompt-in-context-learning

A daily-updated, curated collection of papers, prompt-engineering techniques, and getting-started guides for in-context learning and prompting large language models such as ChatGPT.

Prompt-in-context-learning is an open-source engineering guide that curates papers, prompting techniques and usage guides for in-context learning with large language models. It tracks recent papers across surveys, prompt engineering, prompt design, chain-of-thought, in-context learning, retrieval-augmented generation, evaluation, agents, multimodal prompting and foundation models, updated daily with short highlights for the newest arrivals.

Alongside the paper list it collects prompt-engineering techniques for working with models such as ChatGPT and GPT-3, example prompts for everyday use, a playground for experimenting with prompts against different LLMs, and a guide to getting started with large language models using LangChain.

It is maintained as a Jupyter Notebook-based repository by EgoAlpha Lab and released under the MIT license.

Website: https://egoalpha.com