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Building Open Source AI Agents with Google Gem...

Avatar for Punsiri Boonyakiat Punsiri Boonyakiat
July 20, 2026
Technology
14
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Building Open Source AI Agents with Google Gemma and ADK

Avatar for Punsiri Boonyakiat

Punsiri Boonyakiat

July 20, 2026

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Transcript

  1. AgentCamp Bangkok Building Open Source AI Agents with Google Gemma

    and ADK Punsiri Boonyakiat Lead Data Engineer @Central Food Retail AI

  2. Agenda Local LLM Models & Tools Reviews Gemma 4 Quick

    Intro Agent Development Kit (ADK) Quick Start Demo

  3. 01 Editable Location Local LLM Models & Tools Reviews

  4. What is Local LLM ? “A Local Model (or Local

    LLM) is an AI model that runs directly on your own device or server instead of using AI through the internet”

  5. Cloud LLM vs. Local LLM

  6. Why Local LLM ? Benefits of Local Models: • •

    • • Better privacy Can work offline No API cost per request More control and customization

  7. Quick Start Local LLM Tools

  8. Multiple Choice of Local LLMs

  9. None
  10. None
  11. None
  12. None
  13. None

  14. Google AI Edge Gallery

  15. 02 Editable Location Gemma 4 Quick Intro

  16. None
  17. None

  18. Test Gemma Model on AI Studio

  19. Deploy Open LLM on Cloud Run

  20. Google Agent Platform - Model Garden

  21. 03 Editable Location Agent Development Kit (ADK)

  22. None

  23. v

  24. 04 Editable Location Quick Start Demo

  25. None
  26. None

  27. 1. Install Ollama and Pull Gemma Model

  28. 2. Install Require Python Library

  29. 3. Create Agent with ADK Cli

  30. 3. Edit agent.py

  31. 4. Run ADK Web

  32. 5. Add MCP Tools

  33. 6. Run ADK Web

  34. References • https://docs.cloud.google.com/run/docs/tutorials/gpu-gemma-with-ollama Editable Location