The article from FAZ explores key terminology associated with artificial intelligence (AI) that is essential for understanding the field. It provides insights into foundational concepts like tokens, fine-tuning, and the distinctions between various models and methods within AI. By clarifying these terms, the piece aims to inform readers about the language of AI and its practical applications.

The article emphasizes the growing importance of AI in various domains, outlining how terms such as RAG (retrieval-augmented generation) and APIs (application programming interfaces) are becoming increasingly relevant as technology advances. The text connects these key terms to current trends and tools in AI, mentioning their applications in image generation, specialized KIs, and more. By breaking down these concepts, the article serves as a guide for beginners and seasoned professionals alike, enhancing their comprehension of the vibrant and evolving landscape of AI.

By situating these terms within the context of contemporary AI developments, the article underscores the significance of understanding this vocabulary for anyone involved in or interested in the field. It not only prepares readers to engage more effectively with technological discussions but also enriches their awareness of the challenges and possibilities AI presents. Ultimately, this examination of terminology is positioned as a crucial step toward a more informed engagement with AI technologies.