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AI Prompt Engineering · Lesson

Prompt Compression Techniques

Learn methods to reduce prompt length while retaining essential information, saving tokens and improving speed.

Intro to Prompt Compression

Welcome to Prompt Compression Techniques! In this lesson, we'll learn how to make your prompts shorter and more efficient without losing their effectiveness.

Why is this important?

  • Save Costs: LLM APIs often charge by the number of tokens.
  • Improve Speed: Shorter prompts can lead to faster response times.
  • Expand Context: Fit more information within the LLM's context window.

Understanding Tokens

Before we compress, let's quickly understand tokens. LLMs process text by breaking it down into these smaller units, which can be words, parts of words, or punctuation.

Each token costs money and takes up space in the LLM's 'context window' – the maximum amount of text it can process at once.

Think of it like packing a suitcase: you want to fit as much useful stuff as possible!

All lessons in this course

  1. Prompt Compression Techniques
  2. Cost Optimization for LLM Calls
  3. Fine-tuning vs. Advanced Prompting
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