video Lesson 27 min
System Prompts, Few-Shot In-Context Learning & Structured Outputs
Designing deterministic prompts, JSON Schema enforcement, Chain-of-Thought (CoT), and guardrails.
Prompt engineering is structured interface design for non-deterministic inference engines. We cover:
- System Persona Framing
- Few-Shot Exemplars for few-shot in-context learning
- Structured JSON Schema enforcement with Pydantic
- ReAct (Reason + Act) loop architectures
LLMs & RAG: Interactive Lab
LLMs & RAGMatched to lessonConstructs typed system prompts guaranteeing schema-compliant outputs.
Labs:
Few-Shot Structured JSON Prompt Construction
Python 3.13 • NumPy • PyTorch
Terminal Output
Click Run Code to execute this algorithm in the browser sandbox.
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