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EgoAlpha/

prompt-in-context-learning

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EgoAlpha/prompt-in-context-learning is an open-source Jupyter Notebook repository focused on in-context learning and prompt engineering, with resources and guides across papers, playgrounds, and usage guides.

2.2kstars
189forks
6issues
MITlicense
2023since
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Reviewgenerated from repository data · Aug 5, 2026

What it is

A repository of resources for in-context learning and prompt engineering, including papers, a Playground, Prompt Engineering guide, ChatGPT prompts, and an LLM usage guide. The project presents sections such as Papers, Playground, Prompt Engineering, ChatGPT Prompt, and LLM Usage Guide. The repository shows a version badge v3.0.0 and a set of topics related to ai-agent, chain-of-thought, chatbot, chatgpt, cot, in-context-learning, language-modeling, large-language-model, llm, pre-training, prompt, prompt-based-learning, prompt-engineering, prompt-learning.

How it works

The README demonstrates navigation to multiple Markdown and notebook resources via links such as Playground.md, PromptEngineering.md, chatgptprompt.md, and langchain_guide/LangChainTutorial.ipynb. It also includes a project description and a short blurb encouraging engagement with prompts and papers.

Getting started

The README lists several entry points to start working:

  • Playground.md
  • PromptEngineering.md
  • chatgptprompt.md
  • langchain_guide/LangChainTutorial.ipynb

It also indicates a version badge and project title assets, but no explicit installation instructions are shown in the truncated content.

Recent releases

RELEASES (latest 0):

  • none

Traction

stars_7d and stars_1d are not provided in FACTS, so this section is omitted.

Behind the repo

Linked items to a startup/company are not present in the FACTS, so this section is omitted.

Caveats

License is MIT. The repo was created on 2023-03-08 and last pushed on 2026-05-29. Language is Jupyter Notebook. There are 6 open issues. The repository has 2247 stars and 189 forks. No explicit age beyond creation date is provided beyond those dates. No license anomalies or open issues are listed beyond the count in FACTS.

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