# EgoAlpha/prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Repository: https://github.com/EgoAlpha/prompt-in-context-learning
Canonical: https://ross.abutalabs.com/products/prompt-in-context-learning
Homepage: https://egoalpha.com
Language: Jupyter Notebook
License: MIT
License Family: permissive
Topics: chain-of-thought, chatbot, chatgpt, chatgpt-api, cot, in-context-learning, language-modeling, large-language-model, llm, pre-training, prompt, prompt-based-learning, prompt-engineering, prompt-learning, ai-agent
Last push: 2026-05-29T01:00:03+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 84, release rhythm 35, longevity 91
- inputs: {"age_days": 1274, "days_push": 97, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2249, forks 189 (observed 2026-08-28T04:06:30.262752+00:00)

## What it is
A curated awesome-list of papers, tutorials, and prompt examples for in-context learning and prompt engineering with LLMs like ChatGPT, GPT-3, and FlanT5. It includes a LangChain-based usage guide in Jupyter notebooks and is updated daily by the EgoAlpha lab.

## Use cases
- learn prompt engineering techniques for LLMs
- find recent papers on in-context learning and chain-of-thought
- get started with ChatGPT prompts for work and daily life
- learn LangChain basics with notebooks
- study how large language models work
- find playgrounds to experiment with prompts

## When to choose
- you want a curated, regularly updated reading list on prompting and in-context learning
- you are a beginner looking for prompt examples and LLM tutorials
- you want paper references on chain-of-thought and prompt design

## When to avoid
- you need production-ready prompt engineering tooling or libraries
- you want runnable software rather than curated resources and notebooks

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, nlp, llm-inference, agent-framework, documentation
- domain: large-language-models, artificial-intelligence, tutorials, awesome-lists
- platform: python, cross-platform
- tags: awesome-list, in-context-learning, chain-of-thought, chatgpt, langchain, jupyter-notebooks, prompt-design, natural-language-processing, ai-agents

## Member repositories
- EgoAlpha/prompt-in-context-learning (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:30.262752+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:43:53.732373+00:00, confidence not recorded.
  - readme: https://github.com/EgoAlpha/prompt-in-context-learning (fetched 2026-08-28T04:06:30.262752+00:00, sha 15e413469020)
  - homepage: https://egoalpha.com (fetched 2026-08-29T10:24:14.628313+00:00, sha f3bc6d19d90f)
- Data as of 2026-08-30T08:39:29.467469+00:00.