# ConardLi/easy-learn-ai

Easy-to-understand AI learning resources for beginners.

Repository: https://github.com/ConardLi/easy-learn-ai
Canonical: https://ross.abutalabs.com/products/easy-learn-ai
Homepage: https://mmh1.top/
Language: HTML
License Family: other
Last push: 2026-07-12T14:55:32+00:00

## Health v2 (maintenance only)
Score: 60/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 31
- inputs: {"age_days": 446, "days_push": 52, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1391, forks 204 (observed 2026-08-28T04:04:35.560295+00:00)

## What it is
Easy AI is an editorially curated knowledge website that explains AI concepts, catalogs large language models, benchmarks, prompts, tutorials, and daily industry news for beginners. It is built as a static site (HTML) with interactive pages for learning concepts like Transformers, attention mechanisms, and prompt engineering.

## Use cases
- learn AI concepts like transformers and attention from scratch
- understand what tokens and LLMs are as a beginner
- find and analyze well-crafted AI prompts with explanations
- compare mainstream large language models and their parameters
- track daily AI industry news and updates
- find structured AI tutorials and learning paths
- understand AI evaluation benchmarks and model capability limits

## When to choose
- you are a beginner wanting plain-language explanations of AI/LLM concepts
- you want a curated, editorially organized AI learning portal rather than a raw link dump
- you want to study prompt examples with translations and analysis
- you prefer Chinese-language AI learning material

## When to avoid
- you need hands-on code, notebooks, or runnable training examples
- you need English-only resources
- you need a formal course with certifications or exercises
- you need up-to-the-minute research papers rather than curated explainers

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, search-engine, data-visualization
- domain: artificial-intelligence, large-language-models, tutorials, education, awesome-lists
- platform: cross-platform
- tags: ai-learning, knowledge-base, llm-concepts, prompt-engineering, chinese-content, static-site, beginner-friendly, web-server

## Member repositories
- ConardLi/easy-learn-ai (main) score 60

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.560295+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 2026-08-30T04:39:34.839538+00:00, confidence not recorded.
  - readme: https://github.com/ConardLi/easy-learn-ai (fetched 2026-08-28T04:04:35.560295+00:00, sha 745fba9284a7)
  - homepage: https://mmh1.top/ (fetched 2026-08-29T11:54:32.078773+00:00, sha 223e906ce270)
- Data as of 2026-08-30T08:39:29.467469+00:00.