Data & Research · GitHub ·4 ★

Awesome-AI-Engineering

The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, Evaluation Frameworks, and System Design.

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Details

Author
Eric-LLMs
Category
Data & Research
Platform
GitHub
Framework
langchain
Language
unknown
Stars
4
First indexed
2026-05-15
Last active
2026-02-07
Directory sync
2026-05-15
@Eric-LLMs

Overview

The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, Evaluation Frameworks, and System Design.

Quick start

git

git clone https://github.com/Eric-LLMs/Awesome-AI-Engineering

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Awesome-AI-Engineering can do

frameworkpromptrecipefine-tundata
  • Framework — framework task automation.
  • Prompt — prompt task automation.
  • Recipe — recipe task automation.
  • Fine Tun — fine-tun task automation.
  • Data — Reads, transforms, and analyses structured data.

Frequently asked questions

What is Awesome-AI-Engineering?
The Full-Stack LLM Engineering Playbook. Architectural patterns for Agents (MCP) & RAG, coupled with advanced Post-Training recipes (SFT, DPO, QLoRA) for domain adaptation. Covers Data Pipelines, Evaluation Frameworks, and System Design.
How do I install Awesome-AI-Engineering?
Use git: `git clone https://github.com/Eric-LLMs/Awesome-AI-Engineering`. Full setup details on the source page linked above.
Is Awesome-AI-Engineering open source?
Awesome-AI-Engineering is published on GitHub.
What are alternatives to Awesome-AI-Engineering?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Awesome-AI-Engineering is sourced from GitHub, published by Eric-LLMs.

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