ML and LLM system design: 500 case studies to learn from
A database of 500 case studies from 100+ companies.
First published: June 14, 2023. Last updated: November 11, 2024
How do companies like Netflix, Airbnb, and Doordash apply AI to improve their products and processes? We put together a database of 500 case studies from 100+ companies that share practical ML use cases, including applications built with LLMs and Generative AI, and learnings from designing ML and LLM systems.
Maintained by the team behind Evidently, an open-source tool for ML and LLM evaluation.
Maintained by the team behind Evidently, an open-source tool for ML and LLM evaluation.
Real-world ML and LLM systems
All the content belongs to respective parties. We simply put the links together
Selection criteria. Here is how we selected the case studies to include:Â
- It is a blog, paper, or article about a machine learning system or LLM application created in-house (not by a vendor that sells or implements ML solutions for others).
- It has sufficient detail on the use case and implementation: who the application is for, the AI product design, evaluation criteria, deployment architecture, etc. The more, the better.Â
- It covers a real-world ML or LLM system that is used in production.
- It describes one particular ML or LLM use case. There are only a few exceptions that detail multiple projects at once — about causal ML or generative AI, for example.
Did we miss some great ML and LLM case studies? Let us know! Our Discord Community with 2500+ ML practitioners and AI Engineers is the best place to share feedback.
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