Hybrid solutions: Integrating embedded AI, SLMs, Agentic AI, Cloud AI, IoT and Swarm Robotics

Synopsis

The rapid evolution of AI at the edge, particularly in embedded systems, small language models (SLMs), and multi-agent architectures, is poised to revolutionize industries like IoT and robotics. Yet, integrating these disparate elements into scalable, real-world solutions for resource-constrained environments remains a significant challenge. This book, authored by Vikram Singh Sankhala, bridges this gap by providing a comprehensive, hands-on guide focused on practical, protocol-driven AI integration. It introduces architectures combining embedded AI, SLMs, and agentic systems with cloud LLMs, emphasizing the use of key protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) for seamless communication and interoperability.