Articles

OpenAI's latest model GPT-4o achieves an IQ of 136 in the Mensa test - on a par with the smartest 1% of humanity. Find out how AI intelligence is exploding and what this means for companies.

What current studies reveal about the leap in performance through AI - and why now is the right time for professional AI consulting.

How to use AI agents sensibly in your company: From clear SOPs and quality data to strategic positioning. 6 principles for real added value.

AI agents are not a sure-fire success. Find out how you can use them safely, scalably and sustainably - with human control and a clear focus on specialisation.

Perfect AI agents are created through feedback and a clear structure. Why iterative development, workflows and flexibility are the key to success.

Customers want results - not technology. How to recognise the true value of AI, assess costs sensibly and make targeted investments in automation.

Functionality is not enough - AI agents only realise their full potential through smart integrations and targeted tools. Why less is often more.

Why clean data and good prompt engineering are crucial for AI success. How to use the GIGO principle, design better prompts and achieve valid results.

Find out why AI agents are not employees, how clear SOPs determine their success and why less is often more. For entrepreneurs & experts who want scalable systems.

Prompt-Engineering ist ein aufstrebendes Berufsfeld, das sich mit der Gestaltung und Optimierung von Eingabeaufforderungen für KI-Modelle befasst, um präzise und nützliche Ergebnisse zu erzielen. Angesichts der zunehmenden Bedeutung von KI in verschiedenen Bereichen wird die Rolle des Prompt-Engineers immer wichtiger, da sie entscheidend dazu beiträgt, die Leistungsfähigkeit dieser Technologien zu maximieren.

Learn how generative AI models like ChatGPT work without databases and instead generate meaningful answers through probabilities.

In this guide, we take a deep dive into the world of AI-supported image manipulation, with a special focus on swapping faces in images.

Machine Learning (ML) workshops and courses are structured learning opportunities that convey theoretical and practical aspects of ML and are essential for the continuous education of practitioners and theorists. When choosing a course, attention should be paid to a current curriculum, qualified instructors, practical orientation, networking opportunities, and extensive learning materials, while active participation, practice, networking, feedback, and continuous learning are crucial to derive the greatest benefit from it.

Emotion recognition in chatbots, also known as Affective Computing, is an area of AI that identifies and interprets human emotions through the analysis of text, speech patterns, facial expressions, and physiological signals, with text analysis using NLP and sentiment analysis being at the forefront. Despite challenges such as recognizing subtle emotions, irony, cultural differences, and privacy concerns, the technology continues to evolve and promises to make chatbots more empathetic interaction partners.

Artificial Intelligence (AI) is revolutionizing journalism and storytelling by generating complex and personalized stories from large amounts of data and presenting them in a visually appealing way. Despite the impressive possibilities that AI offers, it is important to maintain ethical standards and ensure that the technology is used responsibly to promote truthful and fair reporting.

Revolution in der KI-Kunst: Das Charakterreferenz-Feature von MidjourneyKI-Bildgeneratoren wie Midjourney, Dall‑E oder Stable Diffusion haben die Art und Weise, wie wir über digitale Kunst denken,…

Artificial Intelligence (AI) is revolutionizing medicine by improving the diagnosis and treatment of diseases through early detection and personalized therapies. While AI automates repetitive tasks and enables telemedicine services, ethical and practical challenges such as data protection and the preservation of human care must be addressed.

In der Welt der Technologie steht Innovation niemals still. Ein besonders spannendes Feld ist die Entwicklung künstlicher Intelligenz, wo Long Short-Term Memory (LSTM) lange Zeit eine Schlüsselrolle…

The article discusses the ethical challenges in dealing with content generated by Artificial Intelligence (AI), such as data, texts, images, and videos, and emphasizes the need for transparency, copyright clarification, data protection, accountability, and the avoidance of bias and fairness. It is argued that responsible handling of AI content requires a balance between innovation and ethics in order to use the technology for the benefit of all and to maintain ethical standards.

Discover the viral success of "Barbaras Rhabarberbar", a tongue-twisting rap by Bodo Wartke and Marti Fischer. Find out more about the worldwide popularity, creative AI music videos and future projects.