# aishwaryanr/awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Repository: https://github.com/aishwaryanr/awesome-generative-ai-guide
Canonical: https://ross.abutalabs.com/products/awesome-generative-ai-guide
Homepage: https://www.linkedin.com/in/areganti/
Language: HTML
License: MIT
License Family: permissive
Topics: awesome, awesome-list, generative-ai, interview-questions, large-language-models, llms, notebook-jupyter, vision-and-language
Last push: 2026-08-19T22:05:37+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 67
- inputs: {"age_days": 939, "days_push": 14, "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 28905, forks 5884 (observed 2026-08-28T04:11:52.925436+00:00)

## What it is
A curated awesome-list style hub for generative AI learning, organizing courses, research updates, notebooks, and interview prep into journey-based paths (use, build, understand). It is a documentation/education repository rather than runnable software.

## Use cases
- learn generative AI from scratch
- prepare for machine learning engineer interviews
- find free LLM and generative AI courses
- keep up with monthly generative AI research papers
- learn to build RAG and agent systems
- find jupyter notebooks for LLM concepts

## When to choose
- you want a structured 101-to-301 learning path for generative AI
- you are prepping for AI/LLM job interviews
- you want curated links to courses and research instead of building software

## When to avoid
- you need a runnable library, framework, or tool
- you want production code rather than guides and notebooks

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: artificial-intelligence, large-language-models, tutorials, awesome-lists
- platform: -
- tags: generative-ai, interview-prep, llm, courses, jupyter-notebooks, research-updates, web-server

## Member repositories
- aishwaryanr/awesome-generative-ai-guide (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:52.925436+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 2026-08-29T16:53:16.795627+00:00, confidence not recorded.
  - readme: https://github.com/aishwaryanr/awesome-generative-ai-guide (fetched 2026-08-28T04:11:52.925436+00:00, sha 93fbcc859087)
- Data as of 2026-08-30T08:39:29.467469+00:00.