Articles

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.

Die robots.txt-Datei hat bislang als Torwächter des Internets fungiert, indem sie festlegte, welche Crawler Zugang zu den Seiteninhalten haben. Diese Informationen sind nicht nur für Suchmaschinen…

Artificial Intelligence (AI) is revolutionizing medicine by improving diagnosis, treatment planning, and the development of personalized therapies, leading to faster and more accurate medical procedures. Despite the benefits such as accelerated drug development and supported decision-making, challenges such as data protection, human-machine interaction, and cost efficiency must be overcome to deploy AI for the benefit of all patients.

Prompt Engineering refers to the optimization of instructions for AI models to achieve the desired results, taking into account ethical guidelines such as transparency, non-discrimination, data protection, user-friendliness, and accountability. To ensure responsible AI interactions, developers, operators, and users should collectively work towards adhering to these ethical standards and making interactions with AI systems fair and respectful.

Stell dir vor, du könntest das Wetter oder das Klima der nächsten hundert Jahre mit einer Präzision vorhersagen, die bis vor kurzem undenkbar war. Dank der Künstlichen Intelligenz (KI) ist dieses…

AI ticket systems use artificial intelligence to categorize, prioritize, and partially independently solve customer support requests, leading to time savings, 24/7 availability, and consistent quality. The integration of AI ticket systems with automated problem solving allows for efficient resource utilization and continuous improvement in support, enabling companies to increase their efficiency and enhance customer satisfaction.

Today we present the five best AI robots for the home: Amazon Astro, LG Smart Home AI Agent, KEYi Loona, Sony Aibo and Energize Lab Eilik. Find out how these technological marvels can make your everyday life easier and your home smarter.

Stell dir vor, du stehst vor einer der größten Herausforderungen deiner schulischen Laufbahn: der Abschlussprüfung in Deutsch, und das Thema ist Goethes „Faust“. Ein monumentales Werk, das…

The article "The Role of Chatbots in Customer Service: Best Practices and Case Studies" by AI-Blogger, published on April 12, 2023, discusses the increasing importance of chatbots in customer service, enabled by artificial intelligence and machine learning to increase efficiency and improve the customer experience. The text discusses best practices such as clear objectives, maintaining human elements, continuous improvements, and data protection, illustrated by case studies from the banking, e-commerce, and telecommunications sectors, and emphasizes that despite technological advances, the human aspects of customer service remain essential.