How Prompt Compression Can Make You a Better Prompt Engineer

In this video, I’m breaking down the art and science of prompt compression, a technique that can transform verbose prompts into concise, high-performing instructions for language models.

By focusing on only the essential tokens and eliminating the superfluous, we can reduce costs and optimize the performance of AI systems, especially in applications where large numbers of requests are run frequently.

Discover how to:

- Understand the concept of prompt compression and why it matters for prompt engineering
- Use both lazy and technical methods to streamline prompts effectively
- Implement a custom GPT for natural language compression of prompts
- Use a version of Microsoft’s LLM Lingua framework to technically refine prompts
- Save on operational costs by compressing prompts without losing essential detail

Whether you’re a prompt engineer, developer, or just diving into generative AI, this video equips you with practical tools to make your AI systems leaner and more cost-efficient. By the end, you’ll be able to compress prompts with precision and maximize output without compromising quality.

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???? About Me: I'm Mark, owner of Prompt Advisers. With years of experience helping businesses streamline workflows through AI, I specialize in creating secure and effective automation solutions. This video explores how prompt compression can help make AI usage more efficient and budget-friendly.

https://youtu.be/MZHi-DU44cU?si=iSc8x_3IrJ6jcUPk

https://youtu.be/qbYv7FqxRYs?si=XZ0hy3aYyb70Nlqx

https://youtu.be/hKCW-fhgBYE?si=q4RKYareek1X4FzX

#PromptEngineering #PromptCompression #GenerativeAI #AIOptimization #CostSavingAI #LLMCosts #AIAutomation #DataScienceTips #AIforBusiness #EfficientAI

0:00 Introduction to prompt compression
0:06 Why prompt length matters and impact on costs
1:38 Defining prompt compression
3:23 Importance for prompt engineers and applications
4:47 Overview of lazy and technical methods
6:41 The mechanics of prompt compression
9:32 Example trimming unnecessary tokens
12:09 Microsoft’s framework and tokenization
14:43 Lazy method for natural language compression
17:22 Custom GPT walkthrough for prompt compression
23:05 Technical compression via Microsoft’s framework
27:28 Using Bolt UI for more advanced compression
31:37 Enterprise cost savings and caching benefits
32:41 Wrap-up and resources for further exploration