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Small Language Agents for Modern Workflows|Aaron Blake

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

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9798274885690
  • ISBN-10: 9798274885690
  • Publisher: Independently Published
  • Publish Date: November 2025
  • Dimensions: 10 x 7 x 0.33 inches
  • Shipping Weight: 0.61 pounds
  • Page Count: 152

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