# radi-cho/awesome-gpt4

A curated list of prompts, tools, and resources regarding the GPT-4 language model.

Repository: https://github.com/radi-cho/awesome-gpt4
Canonical: https://ross.abutalabs.com/products/awesome-gpt4
License: CC0-1.0
License Family: permissive
Topics: awesome, awesome-list, gpt-4
Last push: 2024-03-18T13:30:43+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 95
- inputs: {"age_days": 1341, "days_push": 898, "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 2228, forks 137 (observed 2026-08-28T04:06:28.892250+00:00)

## What it is
A curated awesome-list collecting prompts, papers, tools, and open-source projects related to the GPT-4 language model. It serves as a reference directory rather than executable software.

## Use cases
- find gpt-4 prompt examples
- discover open-source gpt-4 tools and demos
- read key papers about gpt-4 and its predecessors
- track gpt-4 news and announcements
- find chatbot and pdf tools built on gpt-4
- learn what can be built with gpt-4

## When to choose
- you want a curated starting point for GPT-4 resources
- you're researching GPT-4 capabilities and related literature
- you're looking for prompt collections or community projects built on GPT-4

## When to avoid
- you need runnable software rather than a link directory
- you need up-to-date coverage of newer models beyond GPT-4
- you need production tooling rather than references

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, prompt-engineering
- domain: large-language-models, artificial-intelligence, awesome-lists, tutorials
- platform: -
- tags: awesome-list, gpt-4, curated-resources, prompts, papers, openai, web-server

## Member repositories
- radi-cho/awesome-gpt4 (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:28.892250+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 2026-08-30T02:44:48.531581+00:00, confidence not recorded.
  - readme: https://github.com/radi-cho/awesome-gpt4 (fetched 2026-08-28T04:06:28.892250+00:00, sha 190daa4b4653)
- Data as of 2026-08-30T08:39:29.467469+00:00.