Multi-Agent Workflows with SLMs
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Home > Computing and Information Technology > Computer programming / software engineering > Algorithms and data structures > Multi-Agent Workflows with SLMs: Smarter, Faster, and More Efficient AI Systems
Multi-Agent Workflows with SLMs: Smarter, Faster, and More Efficient AI Systems

Multi-Agent Workflows with SLMs: Smarter, Faster, and More Efficient AI Systems


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About the Book

Artificial intelligence is evolving beyond giant, expensive models. The future lies in Small Language Models (SLMs) - efficient, adaptable systems that can run on modest hardware, deliver faster responses, and integrate seamlessly into production environments. But the real breakthrough comes when SLMs are orchestrated together into multi-agent workflows. This book provides a comprehensive guide to building, scaling, and governing multi-agent systems with SLMs. Written for engineers, researchers, and applied AI practitioners, it explains how to design efficient workflows where multiple specialized agents collaborate, validate each other, and outperform a single large model. Key areas include: Why SLMs matter: cost and latency trade-offs vs. LLMs, and where they win in practice. Agentic patterns: from ReAct and Reflexion to Graph-of-Thoughts, voting councils, and self-consistency. Architectures: pipelines, hubs, and councils with robust hand-offs, retries, and deadlines. Infrastructure: serving SLMs efficiently with quantization, batching, and optimized runtimes. Memory and retrieval: vector databases, summarization strategies, and privacy-aware storage. Frameworks in action: LangGraph, AutoGen, CrewAI, DSPy, LlamaIndex, smolagents. Evaluation & observability: benchmarks, CI/CD test gates, dashboards, and regression alerts. Governance & safety: guardrails, auditability, and policies for production systems. Case studies & playbooks: real-world workflows in customer support, analytics, CI/CD, and enterprise RAG. Unlike books that focus only on frameworks or introductions to small models, this work is practical and production-oriented. It bridges the gap between theory and deployment, offering actionable patterns, design strategies, and reliability practices that today's AI engineers demand. Whether you are an AI engineer seeking efficiency, a researcher interested in orchestration, or a professional preparing for the shift from monolithic LLMs to collaborative SLM ecosystems, this book gives you the tools to build smarter, faster, and more efficient AI systems.


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Product Details
  • ISBN-13: 9798299481280
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 254 mm
  • No of Pages: 222
  • Returnable: N
  • Sub Title: Smarter, Faster, and More Efficient AI Systems
  • Width: 178 mm
  • ISBN-10: 8299481287
  • Publisher Date: 23 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 12 mm
  • Weight: 444 gr


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