Context Engineering ist mehr als gutes Prompting: Es ist die Kunst, ein intelligentes, dynamisches Umfeld für KI-Systeme zu gestalten. Dieser Artikel zeigt, warum der Kontext der wahre Erfolgsfaktor für den Einsatz von LLMs ist – und wie Unternehmen davon profitieren können.

Agentic AI is seen as the next evolutionary stage of intelligent systems – with the ability to plan, decide, and act autonomously. But amid the hype, many companies overlook that this new autonomy brings new risks. These risks are often less obvious, but they can be critical for business operations.

What distinguishes Agentic AI from automation? This article highlights the key characteristics of agentic systems – with examples and in-depth analysis.

The integration of generative AI language models such as GPT-4 opens up innovative possibilities but also brings complex challenges.

The discussion about artificial intelligence and the question of whether it can ever develop consciousness is becoming increasingly intense.

Discover how RAG reduces hallucinations and shapes the future of generative AI.

Discover the top Prompt Engineering techniques to optimize Generative AI performance. Learn when and how to apply methods like Zero-Shot, Few-Shot, Chain-of-Thought, RAG, and more to enhance efficiency and precision. Perfect for beginners and experts alike!

An introduction to the basics of Generative AI, its principles, potentials, and business applications.

An overview of the diverse applications of Large Language Models and how targeted Prompt Engineering can generate real value for businesses

Prompt engineering offers advanced approaches to using language models in a versatile and efficient way across various industries.