Building intelligent agents with Gemma 3
summary
Shows how to assemble an agent using Gemma models with concrete parts: a reasoning model that plans and decomposes goals, a tool layer supporting function calling and APIs, an orchestration layer that records short‑ and long‑term memory, and a runtime that executes chains of actions. Claims Gemma outperforms on reasoning benchmarks, is open weights so you can fine‑tune to new tools, and runs on‑device at scale, enabling multi‑step workflows that actually act on external systems.
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chapters (7)
- 0:00Building agents with Gemma
- 1:55AI evolution to LLMs
- 3:24What defines an AI agent
- 5:12Core agent components
- 6:40Not an agentic app
- 7:41Agents' real value
- 9:09Gemma for agents
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