# themanojdesai/genai-llm-ml-case-studies

A collection of 500+ real-world ML & LLM system design case studies from 100+ companies. Learn how top tech firms implement GenAI in production.

Repository: https://github.com/themanojdesai/genai-llm-ml-case-studies
Canonical: https://ross.abutalabs.com/products/genai-llm-ml-case-studies
License: MIT
License Family: permissive
Last push: 2025-06-21T03:51:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 27, release rhythm 35, longevity 38
- inputs: {"age_days": 543, "days_push": 438, "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 1656, forks 240 (observed 2026-08-28T04:05:17.947423+00:00)

## What it is
A curated collection of 500+ real-world ML, GenAI, and LLM system design case studies from 130+ companies, originally based on Evidently AI's curation and expanded with GenAI/LLM content. It documents production architecture decisions, scaling strategies, and evaluation practices for large language model systems.

## Use cases
- learn how companies deploy llm systems in production
- study rag architecture examples from real companies
- prepare for llm system design interviews
- find case studies on fine-tuning and multimodal ai
- research genai deployment patterns by industry
- learn llm evaluation and hallucination mitigation techniques

## When to choose
- you want curated real-world production case studies rather than tutorials
- you're preparing for AI/ML system design interviews
- you need architecture references for RAG, fine-tuning, or LLM scaling decisions

## When to avoid
- you need runnable code or a working library rather than written case studies
- you want hands-on step-by-step tutorials for beginners
- you need up-to-date content past early 2025

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, developer-tools
- domain: large-language-models, machine-learning, artificial-intelligence, tutorials, awesome-lists
- platform: -
- tags: case-studies, system-design, rag, llm-architecture, interview-prep, curated-list, web-server

## Member repositories
- themanojdesai/genai-llm-ml-case-studies (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:17.947423+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 2026-08-30T03:44:50.794282+00:00, confidence not recorded.
  - readme: https://github.com/themanojdesai/genai-llm-ml-case-studies (fetched 2026-08-28T04:05:17.947423+00:00, sha 59f68bb4c56e)
- Data as of 2026-08-30T08:39:29.467469+00:00.
