AI Engineering💬 Prompt Engineering

An Introduction to Prompt Engineering

A prompt is a text input that guides the behavior of an LLM to generate a text output.

In the world of Large Language Models (LLMs), a prompt is more than just a simple question or statement - it’s a carefully crafted guide that shapes the model’s response. Prompt engineering is the art of designing these prompts to elicit high-quality and relevant output from LLMs.

By combining creativity, domain expertise, and precision, prompt engineers can unlock the full potential of these powerful language models, leading to more accurate, informative, and engaging responses. In this context, we’ll delve into the principles and techniques behind effective prompt engineering, exploring how it can be applied to various applications and use cases.

Prompt Analysis

  • Prompt Debugging
  • Prompt Robustness
  • Tracing
  • Prompt Sensitivity Analysis

Prompt Design

  • Prompt Templates
  • Prompt Formatting
  • System Prompt
  • Prompt Components

Prompt Optimization

  • Prompt Tuning
  • Prompt Refinement
  • Prompt Testing
  • Prompt Iteration
  • A/B Testing Prompts

Prompt Techniques

  • Zero-shot Prompting
  • Few-shot Prompting
  • Chain-of-Thought (CoT) Prompting
  • Self-Consistency

Safety and Security

  • Prompt Safeguarding
  • Prompt Transparency
  • Bias Mitigation
  • Adversarial Prompting

Prompt Orchestration

  • Prompt Flows
  • Chaining

Prompt Maintenance

  • Prompt Migration
  • Prompt Annotation

Prompt Management

  • Prompt Library
  • Prompt Versioning
  • Prompt Cataloging
  • Prompt Documentation

Task-Specific Prompting

  • Instruction Prompting
  • Role-Playing Prompting
  • Constrained Prompting

References

Pre-trained Models🎯 Basic Prompting