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Generative AI on Microsoft Azure
book

Generative AI on Microsoft Azure

by Adrián González Sánchez, Jaime De Mora, Jorge García Ximénez
April 2026
Intermediate to advanced
322 pages
10h 16m
English
O'Reilly Media, Inc.
Content preview from Generative AI on Microsoft Azure

Glossary

A2A (Agent-to-Agent)

An emerging agentic protocol layer for discovery, capability exchange, and collaboration between agents

A2P (Agent-to-Payments)

An emerging protocol layer that extends agent interactions into payments and purchases, incorporating identity, policy enforcement, and settlement

ACP (Agent Communication Protocol)

A lightweight inter-agent messaging approach (often HTTP/JSON or JSON-RPC) intended to make agent-to-agent communication portable and standardized

agent

A GenAI-powered component that can plan and act toward goals, often by calling tools, retrieving knowledge, and coordinating steps over time

agent-to-tool integration explosion

The complexity that arises when many tools must be integrated with many models/agents, motivating standardized protocols like MCP

agentic RAG

A RAG variant where autonomous agents plan, decompose, and adapt retrieval and generation steps, including multiquery and iterative querying

agentic retrieval

A feature/pattern where an LLM generates multiple focused subqueries (often in parallel) to improve retrieval quality, then merges and reranks results

agentic systems

Systems built from one or more agents that can reason, act, and sometimes collaborate autonomously with tools, data, and/or other agents

AgentOps

Operational practices and tooling for running agentic systems at scale, emphasizing observability, safety, cost, and reliability for multiagent workflows

AI accelerators

Specialized hardware (typically GPUs and related ...

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Publisher Resources

ISBN: 9798341623279Errata Page