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Small Language Models for AI Agents: Practical Strategies for Efficient Low-Latency On-Devic

by Newman Chandler
₹1,830.00
Original price ₹1,830.00
Original price ₹1,830.00
₹1,830.00
Current price ₹1,830.00

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Book cover type: Paperback
  • ISBN13: 9798292719977
  • Binding: Paperback
  • Subject: Computer Science and Information Technology
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 174
  • Original Price: GBP 14.93
  • Language: English
  • Edition: N/A
  • Item Weight: 313 grams
  • BISAC Subject(s): Artificial Intelligence / Natural Language Processing

Small Language Models for AI Agents: Practical Strategies for Efficient, Low-Latency On-Device NLP

Are you frustrated by sluggish AI agents that depend on bulky cloud models and costly GPUs? Do you wish you could run powerful natural language processing directly on your device-in milliseconds, without compromise?

Small Language Models for AI Agents delivers a hands-on blueprint for building efficient, low-latency on-device NLP systems. You'll learn how to shrink giant transformer checkpoints into nimble engines, deploy them in containers or on a Raspberry Pi, and integrate them into tool-driven agents-all with practical, ready-to-run code.

What you'll achieve:

  • Quantize and benchmark 8-bit and 4-bit models using BitsAndBytes and llama.cpp for CPU-only inference under 100 ms per token

  • Compress with precision, applying structured and unstructured pruning via NVIDIA NeMo and transferring knowledge through LoRA and QLoRA adapters

  • Automate your pipeline with CI/CD scripts that handle conversion, compression, testing, and Docker builds-guaranteeing reproducible, production-ready releases

  • Embed small models into LangChain and llama-cpp-python loops for conversational agents, tool-selection routers, and multi-agent orchestrators

  • Cross-platform deployment: convert models for ONNX Runtime, TensorRT, TFLite, and Core ML to reach servers, mobile SoCs, and Apple devices

  • Monitor and scale with lightweight Prometheus metrics, structured logging, and Kubernetes autoscaling for robust, observability-driven operations

Each chapter arms you with clear, concise tutorials that guide you from environment setup to end-to-end project walkthroughs-no vague theory, no academic fluff. You'll gain real-world strategies and battle-tested scripts that empower you to run AI agents where it matters most: right on your laptop, edge node, or mobile device.

Ready to transform how you build AI agents and deliver lightning-fast NLP wherever it's needed? Get Small Language Models for AI Agents now and start crafting private, cost-effective, on-device solutions that outperform cloud-only alternatives.

Grab your copy today and power your AI agents with the speed and efficiency they deserve.

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