The HMS Blog

Erfahre, wie Atomic Delivery Teams Unternehmen helfen, Generative AI Projekte erfolgreich von der Idee in die skalierbare Produktion zu bringen. Der Artikel zeigt die wichtigsten Rollen, Fähigkeiten und Prinzipien für nachhaltige AI Wertschöpfung.

How Multi-Agent Language Models Make the Creation of Complex Documents More Accurate, Faster, and More Structured.

Souveräne IT-Architekturen sichern Kontrolle über Daten und Systeme, ohne Flexibilität einzuschränken. Anhand praxisnaher Beispiele zeigen wir, wie Organisationen Abhängigkeiten reduzieren und durch bewusste Technologieentscheidungen langfristige Resilienz erreichen.

Vector stores are at the heart of modern GenAI applications. However, scaling them efficiently is more complex than it seems. From metadata management to hybrid search to ingestion pipelines: Here, you’ll learn about common pitfalls and how to avoid them based on real-world project experience.

Early tracing and testing of LLM calls identify issues before they become costly, thereby accelerating the development, quality, and time-to-market of GenAI solutions.

In this article, you’ll learn how the Model Context Protocol (MCP) structures the interaction between the host, client, and server, what security considerations are relevant, and what typical application workflows look like. This article is intended for architects, developers, and IT decision-makers who want to integrate LLMs securely and scalably into business processes.