AI engineering cheat sheet: MLOps, quantization, finetuning, RAG and agents in one list
ashishllm · x · 2026-09-13
A tweet outlining core AI engineering concepts as a checklist:
- MLOps: versioning, monitoring, rollback, degradation
- Infrastructure: GPU utilization, OOM issues
- Optimization: quantization, Flash Attention, Paged Attention, continuous batching
- Finetuning: SFT, QLoRA, RLHF
- Evaluation: human eval, LLM as a judge, groundedness, context relevance
- AI Agents: tools, protocols, task success rate, MCP
- RAG: retrieval, reranker, vector DB, retrieval metrics, hallucination, guardrails
Entry-level list with no deep elaboration, useful as a quick knowledge map.
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