Prompt in-context learning
prompt-in-context-learning
An open guide to in-context learning and prompt engineering from EgoAlpha Lab: a collection of papers, code and tools, with part of the material from 2023
- 2,246 ★ on the repository
- Last commit
- MIT
Minimal access
Why this level
- A set of texts with no code to run
- The rights to the texts belong to their authors
Install
Manual install
Открыть README репозитории EgoAlpha/prompt-in-context-learning на GitHub
No installation is needed. The materials are read in the repository.
Access and checks
How we reviewMinimal accessThe tool runs nothing and makes no network calls.
- A set of texts with no code to run
- The rights to the texts belong to their authors
This is third-party code. Review the repository files before installing.
What it does
Prompt-in-context-learning is an open EgoAlpha Lab guide to in-context learning and prompt engineering. Inside are lists of scientific papers, prompt engineering materials, ChatGPT examples, LangChain tutorials and interactive notebooks. No installation is needed and the materials are read in the repository. MIT license, the repository was updated on 29.05.2026. Part of the material dates from 2023 and describes GPT-3 and FlanT5 models.
Who it is for. For developers and researchers who need a collection on prompt engineering and in-context learning.
Good fit when
- You need a literature overview on in-context learning
- You need prompt engineering materials with examples
- You need tutorial notebooks and write-ups
Not a fit when
- You need fresh techniques for 2026 models: part of the material is from 2023
- You need a short cheat sheet: the volume is big
Example request
Find the chain-of-thought section in the guide and show which techniques still work with current modelsLimitations
Part of the material came out in 2023 and describes older models: check whether a technique fits your model. The repository is a collection of links and notes, and the content and freshness are up to the authors. Access is minimal.
How to disable. Nothing to remove: the materials are read in the repository.
FAQ
What is it?
An open EgoAlpha Lab guide to in-context learning and prompt engineering with papers, code and notebooks.
Are the materials fresh?
The repository was updated on 29.05.2026 but part of the material dates from 2023.
What needs installing?
Nothing, the materials are read in the repository.
Discussion
No questions or reviews yet.
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Comparison with similar tools
Entries that share the main search query, and how they differ.
| Entry | Official | Repository stars | Main difference |
|---|---|---|---|
| Prompt in-context learning (this entry) | no | 2,246 | |
| Claude Code Prompts (RepoWise) | no | 1,212 | independent prompt templates for building agents |
| The Elements of Agent Style | no | 712 | 21 writing rules for agents |
| Claude Design System Prompt | no | 1,990 | a reconstruction of the Claude Design prompt for interface design |
README in short
The README describes a guide to in-context learning and prompt engineering with papers, examples and notebooks. MIT license.