PromptOps
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Track 8
8. Prompt Architecture & Infrastructure
0 / 20 lessons
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1
Prompt Versioning & Regression Testing
Track prompt changes with version control and automated regression suites.
Expert
2
Persona Injection Architecture
Craft detailed character personas to control tone, expertise, and response style.
Expert
3
Multi-Agent Debate Prompting
Have multiple model instances argue opposing positions to reach better conclusions.
Expert
4
Token-Level Budget Optimization
Minimize API costs by engineering prompts that use fewer tokens without quality loss.
Expert
5
Guardrail Prompt Wrappers
Wrap model calls with input/output validation layers to enforce safety policies.
Expert
6
Evaluation-Driven Prompt Design
Design prompts by first defining evaluation metrics and test cases.
Expert
7
Cascading Fallback Chains
Build resilient prompt pipelines with automatic fallback to simpler strategies.
Expert
8
Confidence Calibration Prompts
Instruct models to output calibrated confidence scores alongside answers.
Expert
9
Prompt Caching & Memoization
Cache repeated prompt-response pairs to eliminate redundant API calls.
Expert
10
Latency-Optimized Streaming
Reduce perceived response time using token streaming and progressive rendering.
Expert
11
Contrastive Chain-of-Thought
Show both correct and incorrect reasoning paths to sharpen model logic.
Expert
12
Instruction Hierarchy & Priority
Define explicit priority rules when prompt instructions conflict.
Expert
13
Dynamic Temperature Control
Adjust sampling temperature based on task requirements within a single pipeline.
Expert
14
Agentic Tool Use Prompting
Teach models to select and invoke external tools based on task requirements.
Expert
15
Prompt Decomposition Patterns
Break complex prompts into atomic, reusable instruction components.
Expert
16
Output Parsing & Extraction
Design prompts that produce outputs optimized for programmatic parsing.
Expert
17
Few-Shot Chain Ordering Effects
Optimize the sequence of few-shot examples to maximize model performance.
Expert
18
Hallucination Detection Prompts
Design verification prompts that catch and flag model hallucinations.
Expert
19
Negative Prompting Techniques
Specify what the model should NOT do to constrain unwanted behaviors.
Expert
20
Multi-Modal Prompt Engineering
Design prompts that combine text, images, and structured data inputs.
Expert
8. Prompt Architecture & Infrastructure