@DanKornas: Stop learning LLM system design from random diagrams. genai-llm-ml-case-studies is a curated GitHub collection of 500+ …
Summary
A curated GitHub collection of over 500 real-world GenAI, LLM, and ML system design case studies from 130+ companies, organized by industry, use case, company, and architecture pattern. Open-source under MIT license.
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Cached at: 05/26/26, 05:12 PM
Stop learning LLM system design from random diagrams.
genai-llm-ml-case-studies is a curated GitHub collection of 500+ real-world GenAI, LLM, and ML system design case studies from 130+ companies.
It helps you study how teams design, deploy, and optimize AI systems by organizing examples by industry, use case, company, and architecture pattern.
Key features:
• 500+ case studies – production-focused examples spanning GenAI, LLM, and ML systems • Multiple navigation paths – browse by industry, use case, company, or featured LLM case studies • LLM-focused topics – sections for RAG, search, evaluation, fine-tuning, inference optimization, and multi-modal systems • Company examples – includes OpenAI, Anthropic, Microsoft, Google, Meta, Netflix, LinkedIn, GitHub, Spotify, and more • Architecture patterns – README sketches direct LLM integration, RAG, multi-agent systems, and human-in-the-loop workflows
It’s open-source (MIT license).
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