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.
Repo ↗
AI & Machine Learning
agents
deep-learning
evaluation
evaluation-framework
fine-tuning
langchain
llm
llms
machine-learning
mcp
mcp-client
mcp-server
nlp
prompt
rag
system-design
⚙ Agent Friendliness
N/A
Not evaluated
Can an agent use this?
🔒 Security
N/A
Not evaluated
Is it safe for agents?
⚡ Reliability
N/A
Not evaluated
Does it work consistently?
Scores are editorial opinions as of unknown date.