# AI Prompt Engineering: How to Instruct AI Models to Avoid AI Bias and Get The Results You Want

Techniques for prompting AI models that will help you produce accurate, effective output for any task

## Table of Contents

- What is AI Prompt Engineering?
- 3 Types of AI Prompts
- Tips for AI Prompt Engineering
- How AI prompt engineering can help avoid AI bias
- What is AI bias?
- How to correct for AI bias using prompt engineering
- How to engineer AI prompts in Glide
- Putting your AI prompts to work

Artificial intelligence is everywhere, but getting the exact results you want can still be tricky. You type in your prompt and hit enter, but the response isn’t quite what you expected. Frustrating, right?

That’s where prompt engineering comes in handy.

AI prompt engineering is the skill of talking to AI, so you actually get what you’re asking for.

We’ll cover how to tweak your prompts, add context, and keep refining and problem-solving until you get the perfect output. We’ll also dig into the trickier stuff, like correcting for AI bias using careful prompt engineering.

### What is AI Prompt Engineering?

AI prompt engineering is about learning how to give clear instructions to AI so it understands exactly what you want. The more context and detail you provide, the better the AI can deliver what you're looking for.

Similar to other programming languages, engineering AI prompts is a way of learning how to communicate with computers so they understand your intent and can deliver the correct results. The advantage of AI is that you can communicate using natural language instead of having to learn a new language like Python or Java.

Think of AI like an intern. It might have access to a lot of skills or knowledge, but it lacks context, judgment, and experience, especially as they relate to your specific needs or ways of doing things. Like an intern, you need to provide it with lots of direction in order for it to complete tasks in the way you want it to.

### 3 Types of AI Prompts

When it comes to working with AI, how you phrase your prompt can make a big difference in the results you get. Here are three types of AI prompts you can use.

#### Zero-Shot Prompts

Zero-shot prompts are designed to get a specific output on the first try without the need for any examples, fine-tuning, or training. They’re usually short, simple, and to the point.

#### Chain of Thought Prompts

Chain of thought prompts guide the AI in thinking through a problem step by step. This is particularly useful for more complex tasks where logical reasoning is needed.

#### System Prompts

System prompts set the overall behavior or tone of the AI throughout an entire interaction. This is particularly useful when you want consistency in style or personality across multiple interactions.

## Tips for AI Prompt Engineering

AI prompt engineering is a skill you’ll improve over time. Here are some tips to help you refine your skills.

### Be specific

The clearer and more detailed your AI prompts are, the better the AI will understand what you want and how to deliver it. Provide explicit instructions to guide the AI.

### Use constraints

Without boundaries, AI can produce results that are too broad or unhelpful. Set effective constraints in your AI prompts.

### Context matters (a lot)

Providing the right context in your prompts is crucial. Insisting on clarity, detail, and specificity will lead to better AI performance.

### Use the temperature parameter

The temperature parameter controls how predictable or creative the output will be. Adjusting it can lead to more innovative or reliable responses.

### Embracing an iterative process

Crafting the perfect AI prompt isn’t a high-stakes activity; it’s about testing and refining until you get it right.

## How AI prompt engineering can help avoid AI bias

AI models learn from human data, and understanding how to guide your AI model using prompting can help get more accurate and equitable results.

### What is AI bias?

AI bias is the inaccurate or skewed results machine learning algorithms produce when they are trained on incomplete or prejudiced data.

### How to correct for AI bias using prompt engineering

You can reduce the impact of AI bias by being intentional and detailed in your instructions, guiding the AI to produce more diverse and inclusive outputs.

## How to engineer AI prompts in Glide

When building your own no code software with Glide, you can enhance functionality by adding various forms of AI capabilities, applying the same principles of prompt engineering.

## Putting your AI prompts to work

Once you’ve learned how to effectively prompt your AI, the next trick is identifying where and how to best apply it.
