Just like some problems are too big for one person to solve, some tasks are too complex for a single AI agent. Instead, the best approach is to decompose problems into smaller, specialized units, where multiple agents work together as a team. This is the foundation of multi-agent systems. Networks of agents, each with specific … continue reading
Just like some problems are too big for one person to solve, some tasks are too complex for a single AI agent. Instead, the best approach is to decompose problems into smaller, specialized units, where multiple agents work together as a team. This is the foundation of multi-agent systems. Networks of agents, each with specific … continue reading
In my past experience designing conversational systems, I saw firsthand the limitations of traditional AI. The system I worked with could reliably detect entities, but its rigid logic made scaling these solutions impossible. Conversations followed preprogrammed paths: if the user said X, respond with Y. Any deviation broke the flow, highlighting how inflexible these systems … continue reading
