Könyv Google Gemini Bilal Qureshi

Google Gemini

Architecting the Multi-Agent Future

Szerző: Bilal Qureshi
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Várható készletfeltöltés
Küldés 11. 06. 2026
6 221 Ft
Google Gemini: Architecting the Multi-Agent FutureUnlock the Future of AI: Beyond Chatbots, to Auton...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
104
EAN
9798198987210
Enbook ID
52826736
Súly
152
Méretek
152 x 229 x 5

Teljes leírás

Google Gemini: Architecting the Multi-Agent Future

Unlock the Future of AI: Beyond Chatbots, to Autonomous Agents

Are you ready to transcend the limits of simple chatbots and step into the era of autonomous AI agents?

Google Gemini: Architecting the Multi-Agent Future is your definitive blueprint for navigating and building the next generation of artificial intelligence. If you are an AI engineer, an enterprise technology leader, a researcher, or a forward-thinking student, this book offers an indispensable technical roadmap.

Discover how Google Gemini is fundamentally redefining AI, shifting from passive retrieval to agentic execution-systems that can think, reason, plan, and mutate their environment.

Inside, Master the Gemini and MCP Architecture:

  • Engineering Ecosystems that Act: Learn to program Gemini not just to talk, but to execute. Map complex environments and build resilient, autonomous workflows.
  • The 2-Million Token Canvas: Deploy specialized agent networks to ingest, analyze, and synthesize mass data, from software repos to academic libraries.
  • Custom Gems & Cognitive Blueprints: Architect hyper-personalized tutoring or workflow systems by grounding Custom Gems in authoritative knowledge bases.
  • Unifying the Ecosystem with MCP: Master the Model Context Protocol (MCP), the "USB-C for AI." Seamlessly connect Gemini to databases, cloud repositories, and local tools.
  • The Agent Development Kit (ADK): Design agents that write, test, and debug their own code in real-time, within secure, sandboxed environments.
  • Swarm Intelligence (A2A): Deploy collaborative networks where multiple Gemini instances operate in concert, from hierarchical orchestrators to decentralized swarms.
  • Next-Gen Academic & Educator Workflows: Build the Autonomous Research Lab or Cognitive Classroom, automating literature reviews, data cross-referencing, and adaptive tutoring.
  • Governance & Security: Mitigate critical risks with state compaction patterns, adversarial debate protocols, and zero-trust runtime frameworks for agentic networks.

Stop asking AI simple questions. Start engineering ecosystems that autonomously generate massive value.

Architect your agentic future.