Prompt Template
A pre-defined structure for formatting prompts to AI models, with placeholders for dynamic content. Templates ensure consistent, optimized prompt formatting across applications.
Why It Matters
Prompt templates standardize AI interactions across teams and applications, ensuring best practices are followed consistently rather than ad-hoc prompting.
Example
A customer support template: 'You are a helpful support agent for {company}. The customer's issue is: {issue}. Previous tickets: {history}. Provide a helpful response.'
Think of it like...
Like a Mad Libs game — the structure is pre-written with blanks that get filled in with specific details for each use.
Related Terms
Prompt Engineering
The practice of designing and optimizing input prompts to get the best possible output from AI models. It involves crafting instructions, providing examples, and structuring queries to guide the model toward desired responses.
System Prompt
Hidden instructions provided to an LLM that define its behavior, personality, constraints, and capabilities for a conversation. System prompts set the rules of engagement before the user interacts.
Few-Shot Learning
A technique where a model learns to perform a task from only a few examples provided in the prompt. Instead of training on thousands of examples, the model generalizes from just 2-5 demonstrations.
LangChain
A popular open-source framework for building applications powered by language models. It provides tools for prompt management, chains, agents, memory, and integration with external tools and data sources.
Prompt Management
The practice of versioning, testing, and managing prompts used in LLM applications. It treats prompts as code that needs proper lifecycle management.