In this article, you'll learn how Big Tech companies like Google, OpenAI, Anthropic, and NVIDIA collaborate on prompt engineering and what principles they share. Find out how to apply these principles to create reliable AI workflows.
Copy-paste is a productivity killer that hinders focus, quality, and scalability of KI productivity. It causes context switching, errors, mental burden, and massive productivity loss.
A single source of truth for AI prompts is crucial for the quality, scalability, and governance of AI applications in teams. Without central management, version chaos, inconsistent quality, and high coordination effort arise.
This article helps you decide whether prompt templates or custom GPTs are suitable for your team. Learn how both approaches solve different problems and what benefits they offer.
A Prompt Library does not pay off immediately, but at a certain point. This article helps you identify this point.
Notion is great for notes, but not for AI prompts. Prompts are operational systems, not content. Notion stores knowledge, but prompts control behavior.
Give AI permission to say "I don't know" to reduce hallucinations and obtain reliable results.
Few-Shot Prompting is a method where the model is given examples instead of just rules. This helps to improve the results and reduce hallucinations.
Clear output requirements are crucial for consistent AI results. They help to structure the results and improve the quality.
Context is the key to minimizing hallucinations in AI models. By providing explicit facts, naming uncertainties, and setting clear boundaries, the accuracy of AI models can be improved.
Prompting is not the same as questioning, but rather programming. Most people think that prompting means speaking with an AI, but that's not the case. The AI predicts word by word, rather than thinking or reasoning. Therefore, it's essential to write clear and precise prompts to achieve good results.
In this article, you will learn how to improve your prompts to AI models to get better results. We will show you how to structure and formulate your prompts to increase the accuracy of the results.
In this article, you will learn how Prompt Templates can help you achieve consistent AI results and how to use them productively in your daily work.
Apply 5 principles by Richard Feynman to uncover pseudo-logic and buzzwords
The 'Ask Me Questions' technique is a method to systematically clarify questions before executing a task with an AI. By asking targeted questions, it ensures the AI has all necessary information to provide precise results.
In this article, you will learn how to maximize your AI results by applying 5 hacks. These hacks will help you improve your AI interactions and achieve better results.
In this article, you will learn how to use AI prompts to recognize and understand unconscious thought processes and unknown unknowns. We will show you how to use open prompts and systemic thinking to discover new ways of thinking.
Prompt Engineering is a hybrid of art and technology. It requires creativity and technical expertise to bring machines to life with language.
Stop wasting time guessing prompts. Get consistent, professional AI results right from the first try, every time.
