Creating Applications with AI Agents. Designing and Implementing Multi-Agent Systems

Generative AI has revolutionized how organizations solve problems, accelerating the transition from concept to prototype and ready solution. As the capabilities of models grow, a new design pattern is emerging - AI agents. The combination of tools, knowledge, memory, and learning mechanisms with advanced foundational models allows for constructing sequences of multiple model inferences to tackle ambiguous and complex tasks. Agents - ranging from developer assistants to research and analytical agents - are already speeding up the work of teams and entire organizations. Although these agents increase efficiency, they often require careful planning and numerous adjustments, and their deployment remains a challenge in many organizations, especially amidst rapid technological development and research.
Author Michael Albadah offers a practical, research-based approach to designing and implementing both single-agent and multi-agent systems. He simplifies complexities and equips tools for an effective transition from concepts to solutions.