LEVEL 3

Engineering AI Systems

From "it works" to "it works reliably" - Like TaskUs's zero-incident system

Originally inspired by Zach Wilson (@eczachly)'s insights on AI Engineering levels

40%
Performance Gain
99.3%
ChatGPT Quality
65B
Params on 1 GPU

Master Production Engineering

⚙️

Fine-Tuning Mastery

LoRA, QLoRA, RLHF - Train 65B models on single GPUs. Achieve 40% performance gains like Databricks.

🛡️

Safety Guardrails

Zero incidents like TaskUs protecting 50K employees. PII detection, toxicity filtering, adversarial testing.

🏗️

Multi-Model Architecture

Cascading systems, specialist agents, ensemble methods. Optimize cost and performance simultaneously.

📊

Evaluation Frameworks

BLEU, ROUGE, human eval, A/B testing. Measure what matters in production systems.

What You'll Build

🔧

Week 17-19: Custom Fine-Tuned Model

Train domain-specific models with QLoRA. Achieve 99.3% of ChatGPT performance at fraction of the cost.

🔒

Week 20-21: Safety System

Multi-layered guardrails with sub-50ms latency. PII protection and compliance like Writer's enterprise solution.

🎯

Week 22-23: Multi-Agent Orchestra

Specialized agents working together. Research, analysis, and reporting like Accenture's Q4 Inc solution.

📈

Week 24: Evaluation Pipeline

Automated testing, human evaluation, performance monitoring. Production-grade quality assurance.

Ready for Production AI?

Build systems that handle millions with bulletproof reliability

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