So schreiben Sie KI-Prompts: Eine Anleitung zum Schreiben effektiver AI-Prompts

While AI might not take over the world anytime soon, it has progressed significantly in the last few years. One doesn't need to go too far and just look at the pace at which generative AI tools are being adopted. Today, 3 out of 5 workers already use generative AI or plan to use it soon. Similarly, ChatGPT, the most famous example of the generative AI boom, has amassed 180 million users. 

However, the rapid emergence of these tools has caught people off-guard who don't have much idea of how to write AI prompts. Quality prompts are indispensable to ensure the best possible outcome from these generative AI tools. With AI, it is not just about what you say; how you say it is equally, if not more, crucial.

In this comprehensive guide, we'll walk you through the art of prompting artificial intelligence so that you can start using it immediately. 

What are AI Prompts? 

Before we tell you how to write AI prompts, let's start with the basics and understand what AI prompts are.

Prompts are the instructions you give to an AI system to make them generate desired responses or outputs. They are user inputs that are converted to outputs by the AI system. Using an AI system, you can create coherent responses by experimenting with language and structures. If your prompts align well with the AI system you are using, it will generate the desired results. 

Why Do We Need Quality AI Prompt Writing? 

We need good AI prompts because they make all the difference in generating good responses. Let us explain what it means. Imagine going on a foreign tour where all the signboards read Spanish or Greek. Sure, you might understand one or two, but can you navigate the place successfully? 

When you give confusing or incoherent prompts to AI, its reaction is similar to yours upon seeing the signboards in foreign languages. It might get one or two of those prompts right, but it'll generally struggle to provide coherent responses. Quality AI prompts are the perfect bridge between user goals and AI comprehension, resulting in a system of comprehensive AI-based learning.

Types of AI Prompts 

AI prompts can be of various types, depending on their context, purpose, and needs. Let's briefly discuss them below. 

1. Generative Prompts 

Generative prompts ask the AI to create images, text, and music. 

Examples

• Write a story where two friends separated from each other in childhood and met 12 years later.
• Create a bustling town of ancient Rome.

2. Interpretive Prompts 

You can ask the AI to interpret information using these prompts.

Example

• Break down the significant focus areas of the General Data Protection Rules (GDPR). Analyze and interpret its impact on the tech sector. 
• Interpret the current consumer behavior trends in the smartphone market and their impact on smartphone manufacturers.

3. Question-Answer Prompts 

These prompts help you get informative answers from AI.

Examples

• How much oil reserves does the US have, and what are their contributions to the US economy?
• Why is computer science knowledge essential, and how can it help one's career prospects?

4. Conditional Prompts 

Conditional prompts restrict AI's response to defined factors.

Examples

• Give me a recipe for a protein-rich dinner without meat.
• Provide troubleshooting steps for a user who has contacted customer support for his smartphone.

5. Comparative Prompts 

Comparative prompts can be used to make AI compare between two things.

Examples

• Compare the advantages and disadvantages of smartphones Vs tablets. 
• Compare the advantages of studying STEM vs arts and highlight the key features of these programs. 

6. Rephrasing Prompts 

Rephrasing prompts helps you change the tone of a text.  

Examples

• Rephrase the following lines and make them look more formal. 
• Reframe the following conversation in a casual context. 

7. Task-specific Prompts 

These prompts are helpful when you're working on specific applications and domains. 

Examples 

• Create code for a Hello World output in Python. 
• Create a comprehensive lesson plan for an 8th-grade mathematics class. Include various puzzles that keep students engaged. 

How to Write AI Prompts? 

Let's discuss some valuable tips for leveling up your AI prompt game.

1. Know Your AI System 

Before you start giving endless prompts to your AI systems, it is crucial to know them well. Some AI models excel at writing, some at image generation, and some are good at video generation. 

For instance, ChatGPT and Gemini are well-known for their text-generation capabilities, while DALL.E is suitable for generating images. Similarly, Sora excels at generating videos, while GitHub Copilot is famous for code generation.

You can understand how well a model performs by spending time with it and experimenting with various prompts. It helps you determine how well it has been optimized and trained on datasets. As a result, you can tweak your prompts accordingly to get the maximum out of an AI model.

2. Be As Specific As Possible 

One thing about computers and AI models is that they don't like ambiguities. The more specific a command is, the better it performs. For instance, if you ask ChatGPT to write a few lines on X, Y, or Z, it will generate a generic piece to fit every scenario, but that's not what you want.

It indicates that you must get more specific, ensuring output alignment with your requirements. For instance, if you want ChatGPT to write a blog post on scoring better grades, you should be a bit more specific than writing something generic. You can give it a prompt like this: 

"Write a 600-word blog post aimed at students on scoring better grades in their mathematics exams. Include tips, such as approaching a problem, checking an answer, and more. Use a conversational tone so that students feel comfortable understanding it."

As we can see, this prompt is comprehensive and provides the following:

• Target audience 
• Word count
• Specific topics 
• Content type (tips)
• Desired tone 

3. Have a Human-like Conversation 

Instead of approaching ChatGPT and other prompt-based AIs from a programming perspective, you should look at them through a conversational lens. You should talk to them usually, which might require a paradigm shift for some people. Talk to it like you'd talk to someone to make the conversation more organic.

The best way to do it is by addressing the AI program with names like Alexa, Bob, and the like. It helps because when you address the AI with a name, you include all the critical conversational details. When you talk to a person, they might need clarification or stray from the topic under discussion. You might want to reframe your questions for better understanding.

It is called interactive promotion because it stems from your interactions with the AI system. You might have to take a multi-step approach here: ask one question, get an answer, ask another, and so on. We have done it, and giving it 10-20 tries usually gives you a much better response. 

4. Make the AI Assume a Profession 

One of ChatGPT's most powerful features is that it can take on the identity of anyone and generate responses as if that person were responding. While many have asked ChatGPT to write like Shakespeare, you can make it assume any profession, from a teacher to a fiction writer to a marketing executive. 

For instance, you can ask ChatGPT to assume the marketing executive role of a smartphone company, a journalist, and a customer. You can ask them about their views on the changes in the smartphone market and how they imagine the future.

Here are some prompt generation examples in this context:

• From the point of view of a marketing executive, describe the current state of the smartphone market and its future. 
• From the point of view of a tech journalist, describe the current state of the smartphone market and its future.
• From the point of view of a customer, describe the current state of the smartphone market and its future.

5. Using Open-Ended and Closed-Ended Questions 

Knowing when to use open-ended and closed-ended questions is like knowing when to close or open a door. Open-ended questions are for triggering brainstorming sessions with your AI system, where you invite it to be creative and provide dynamic ideas. On the contrary, close-ended questions are for situations where you want a straightforward yes or no response.

• Open-ended Question: What are the reasons behind the falling prices of smartphones over the years?
• Close-ended Question: Are advancements in manufacturing technology responsible for decreasing the prices of smartphones?

To answer the first question, AI will provide several factors that contribute to the falling smartphone prices. In the second instance, the AI will directly answer if improvements in manufacturing are responsible for decreasing smartphone prices. 

6. Be Open to Experimenting 

Playing around is a great way of creating the best AI prompts because it helps you refine your craft and identify your shortcomings. You can do that by throwing various prompts at your AI system and checking how it responds. Here are a few examples to help you get started:

• Imagine you're a bullet being fired from a gun, hitting a tree. Describe your journey, beginning from the moment you are fired to the moment you hit the target. How do you feel, and what do you see throughout your journey?
• You are a radio that has been placed in the attic, and you have stayed there for several years. Describe your life, starting from the moment when the owner purchased you to right now. 
• Stellen Sie sich vor, Sie wären ein Zeitreisender, der in die Zeit von Sokrates in Griechenland zurückgereist ist. Beschreibe, was du um dich herum siehst. Beschreiben Sie bitte auch die philosophischen Ideen, die Sie besprochen haben, als Sie Sokrates getroffen haben.
• Erzählen Sie ein imaginäres Gespräch zwischen einem Fußball und einem Schuh, beschreiben Sie ihre Reisen und was sie regelmäßig erleben.
• Tauchen Sie tief in die Welt der Elefanten ein und beschreiben Sie, wie sie ihr Leben führen. Erfahre, wie Elefanten über ihre Gemeinschaft, ihre soziale Struktur, ihr Überleben und mehr denken.

Wie Sie sehen, sind diese Beispiele unkonventionell und sicherlich nichts, worüber Sie regelmäßig nachdenken. Das macht sie besonders: Sie helfen Ihnen dabei, die Grenzen Ihres KI-Systems zu erweitern. Es ist wichtig zu sehen, wie die KI auf diese Aufforderungen reagiert: Beachten Sie die Fehler, die sie macht, die Bereiche, in denen sie sich auszeichnet und in denen ihre Vorstellungskraft begrenzt zu sein scheint. Diese Details werden dir helfen, die Effektivität deiner Aufforderungen zu verbessern, da du jetzt die Einschränkungen umgehen kannst, mit denen du sonst konfrontiert sein könntest.

7. Verstehen Sie die Grenzen eines KI-Systems

Was auch immer Sie darüber denken, dass KI die Welt erobert, die aktuelle Realität ist, dass sie nicht alles kann. Sie ist in einigen Bereichen intelligent und in anderen dämlich, und diesen Unterschied zu verstehen, ist entscheidend, wenn es darum geht, wie man KI-Eingabeaufforderungen schreibt.

Zum Beispiel wurde ChatGPT von Open AI vor 2021 mit Datensätzen aus dem Internet trainiert. Daher werden seine Grenzen offensichtlich sein, wenn Sie nach den Ereignissen im Jahr 2024 fragen. Ebenso enthielten die Trainingsdatensätze keine privaten Daten innerhalb oder außerhalb des Internets sowie die Informationen, die Sie in der Vergangenheit mit KI geteilt haben. Stellen Sie sicher, dass Sie diesen Kontext berücksichtigen, bevor Sie ChatGPT und andere KI-Systeme dazu auffordern.

8. Feedback geben

Während Sie sich eine KI vielleicht als einen guten Diener vorstellen, was sicherlich der Fall ist, ist die Realität etwas nuancierter. Wenn Sie das KI-Prompting lernen möchten, müssen Sie davon ausgehen, dass zwischen Ihnen und dem KI-System, das Sie verwenden, eine iterative Beziehung besteht. Stellen Sie sich das so vor, als würden Sie mit Ihren Kollegen zusammenarbeiten, um etwas Wertvolles zu schaffen.

Wenn Sie einem KI-System mitteilen, welche seiner Antworten nützlich waren und welche nicht, und gleichzeitig Verbesserungen vorschlagen, kann es besser verstehen, welche Art von Ergebnissen Sie wünschen. Infolgedessen verbessert es seine Leistung in dieser Richtung und liefert Ihnen bessere Ergebnisse.

Fazit 

Hochwertige Eingabeaufforderungen sind die Seele jeder bedeutungsvollen Konversation zwischen Menschen und KI. Die Interaktionen können viel produktiver werden, wenn Sie wissen, wie man KI-Aufforderungen im richtigen Kontext schreibt, spezifisch ist und Verbesserungen vorschlägt.

Wie in vielen anderen Bereichen sind die Auswirkungen von KI in der Bildung expandiert ebenfalls rasant. Sie können jetzt mit Hilfe von vollwertige Schulungen erstellen KI-Kursgeneratoren, wie der von Kursbox. Nichts ist effizienter und wertvoller als der KI-Kursgenerator von Coursebox im Bereich E-Training.

Von KI-Bewertungen zu Quizgenerierung zu einem KI-Tutor rund um die Uhr, unser KI-Kursgenerator bietet alle modernen Funktionen, die E-Training auf die nächste Stufe heben. Melden Sie sich also kostenlos auf unserer Plattform an und beginnen Sie eine neue, transformative Reise mit der Kraft der KI.