Prompt Engineering is an emerging discipline that promises to revolutionize our interaction with artificial intelligence systems, particularly with language models like ChatGPT. In this post, we’ll explore a structured method called GEPEA, its applications, and the role of critical feedback (CRIT) in refining AI interactions. We’ll also look at some practical examples and discuss how...
Author: Martin Treiber
Prompt Engineering: A seismic shift for Programming
The dynamic landscape of technology is marked by constant evolution, innovation, and shifts in paradigms. At its heart, the discipline of programming has been a foundational pillar, driving the revolution from the early days of punch cards to object-oriented design. Traditional programming, with its firm emphasis on structured logic, systematic processes, and deterministic outcomes, has...
VOYAGER – a Revolution in Minecraft with AI and Lifelong Learning
In the realm of artificial intelligence (AI), the gaming world has often served as a fertile testing ground for new concepts and technologies. From DeepMind’s AlphaGo making waves in the world of Go to OpenAI’s Dota 2-playing bot, AI has shown its potential to master complex games. Now, a new player has entered the arena,...
MRI scans and AI technology really could read what we’re thinking. The implications are terrifying
For the first time, researchers have managed to use GPT1, precursor to the AI chatbot ChatGPT, to translate MRI imagery into text in an effort to understand what someone is thinking. This recent breakthrough allowed researchers at the University of Texas at Austin to “read” someone’s thoughts as a continuous flow of text, based on...
The art of structured prompt generation
Using AI platforms like chat GPTs as prompt generators for various other AI platforms, is akin to learning a new language. While you can certainly stumble through without a clear plan, a structured approach dramatically improves your ability to harness the full potential of chat GPT as prompt generator. This is because AI systems thrive...
The Future of Aggregator Sites in the Age of Chat-Based Search
As chat-based search platforms like Bing or Bard continue to gain traction, the future of aggregator sites and marketplaces has been called into question. These platforms compile and present data from various sources, allowing users to compare products, services, and prices with ease. In this analysis, we’ll delve into the potential impact of chat-based models...
Generative AI is forcing people to rethink what it means to be authentic
It turns out that pop stars Drake and The Weeknd didn’t suddenly drop a new track that went viral on TikTok and YouTube in April 2023. The photograph that won an international photography competition that same month wasn’t a real photograph. And the image of Pope Francis sporting a Balenciaga jacket that appeared in March...
Why Large Language Models will replace Apps
The dawn of large language models (LLMs) like GPT from OpenAI that can write their own code and adapt to novel requirements promises a more flexible approach to software development. In this article, we will explore in detail why apps as we know them will soon be a thing of the past and how LLMs...
The Dawn of a New Era: The Natural Language Interface Revolution
Imagine a world where you could simply speak to your devices and have them understand you as clearly as another human would. A world where software and applications can intuitively comprehend your needs and cater to them without requiring you to adapt to their way of working. Sounds vaguely familiar? This was one of the...
Why does GPT hallucinate?
The increasing interest in language models for practical applications has led to a proliferation of various models, with many organizations using GPT-4 through APIs provided by OpenAI and other companies. Despite their impressive fluency, these language models sometimes produce false statements ranging from minor inaccuracies to complete fabrications (als known as hallucinations), raising three primary...
