Small Language Agents for Modern Workflows: Deploy and Optimize On-Device NLP Models for Interactive and Multi-Agent Systems

Take your AI projects to the next level with Small Language Agents for Modern Workflows. Aaron Blake shows you how to build interactive, multi-agent systems powered by small, on-device NLP models-fast, efficient, and secure.
Learn how to:

• Design Agentic Pipelines: Tool-routing, multi-agent orchestration, and conversational loops
• Deploy Cross-Platform: ONNX, TensorRT, TFLite, Core ML, and edge devices
• Optimize Performance: Quantization, caching, batching, and latency reduction
• Monitor & Scale: Lightweight Prometheus metrics, structured logging, and Kubernetes autoscaling
• Secure & Private AI: Run fully private agents without cloud dependencies

Packed with hands-on tutorials, project walkthroughs, and production-ready scripts, this book equips developers to build powerful agentic AI workflows that run anywhere-from laptops to mobile devices to embedded systems.

Ideal for ML engineers, AI developers, and tech-savvy innovators who want to deploy smart, responsive AI agents on the edge.