---
format: "aidr-story-markdown/v1"
id: "9b30884a382a4efd3a1b6311cda0b6524212501d6a8aa8bd477005a3e7d8e95c"
canonical_url: "https://aidr.today/9b30884a?lang=en"
title: "Foundation Model Engineering: From Theory to Production"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
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published_at: "2026-09-14T15:27:48.000Z"
category: "Research"
topics: ["llm","rag","agent","training","inference"]
source_urls: ["https://sungeuns.github.io/foundation-model-engineering/","https://news.ycombinator.com/item?id=49698603"]
summary: "A technical textbook for understanding foundation model architectures, training pipelines, inference systems, RAG, evaluation, alignment, and agentic AI from theory to production."
---

# Foundation Model Engineering: From Theory to Production

> [Open the canonical story](<https://aidr.today/9b30884a?lang=en>)

**Published:** 2026-09-14T15:27:48.000Z
**Category:** Research
**Topics:** llm, rag, agent, training, inference

## Summary

A technical textbook for understanding foundation model architectures, training pipelines, inference systems, RAG, evaluation, alignment, and agentic AI from theory to production\.

## Sources

- [Story source](<https://sungeuns.github.io/foundation-model-engineering/>)
- [Discussion](<https://news.ycombinator.com/item?id=49698603>)