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 true Agentic AI from mere automation? An analysis of conceptual confusion, the risks it poses to businesses, and what decision-makers should look out for.

Learn how to optimally utilize the parameters of large language models (LLMs) to enhance efficiency and precision.

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

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!

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