@KirkDBorne @PacktDataML 574 pages on agentic patterns feels properly unhinged. Respect.

@KirkDBorne 472 pages is either serious or slightly feral. Respect either way.

Agentic Design Patters Hands-on Guide” = 472 pages of “practical advice designed to help developers master the art of building sophisticated AI agents. As artificial intelligence evolves from simple reactive programs to autonomous entities capable of understanding context and making complex decisions, this book provides the essential Design Patterns and proven techniques needed to construct intelligent systems effectively. Each of the 21 Design Patterns represents a fundamental building block for creating agents that can perceive their environment, make informed decisions, and execute actions autonomously.

💥574 information-packed pages from @PacktDataML at http://amzn.to/3MaHy8T 🚀 "Agentic Architectural Patterns for Building Multi-Agent Systems — Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" 𝓟𝓻𝓪𝓬𝓽𝓲𝓬𝓪𝓵 𝓛𝓮𝓪𝓻𝓷𝓲𝓷𝓰: 🟢Apply design patterns to handle instruction drift, improve coordination, and build fault-tolerant AI systems 🟢Design systems with the three layers of the agentic stack: function calling, tool protocols (MCP), and A2A collaboration 🟢Develop responsible, ethical, and governable GenAI applications 🟢Use frameworks such as ADK, LangGraph, and CrewAI with code examples 🟢Master prompt engineering, LLMOps, and AgentOps best practices 🟢Build agentic systems using RAG, fine-tuning, and in-context learning 𝙏𝙖𝙗𝙡𝙚 𝙤𝙛 𝘾𝙤𝙣𝙩𝙚𝙣𝙩𝙨: 🔷GenAI in the Enterprise: Landscape, Maturity, Agent Focus 🔷Agent-Ready LLMs: Selection, Deployment, Adaptation 🔷The Spectrum of LLM Adaptation for Agents: RAG to Fine-tuning 🔷Agentic AI Architecture: Components & Interactions 🔷Multi-Agent Coordination Patterns 🔷Explainability & Compliance Agentic Patterns 🔷Robustness & Fault Tolerance Patterns 🔷Human-Agent Interaction Patterns 🔷Agent-Level Patterns