Model Pipeline - Tool selection by the agent
This pipeline shows how an AI agent chooses the right tool to solve a task. The agent looks at the input, thinks about available tools, picks one, and uses it to get the answer.
This pipeline shows how an AI agent chooses the right tool to solve a task. The agent looks at the input, thinks about available tools, picks one, and uses it to get the answer.
Loss
1.0 |****
0.8 |***
0.6 |**
0.4 |*
0.2 |*
0.0 +----
1 2 3 4 5 Epochs| Epoch | Loss ↓ | Accuracy ↑ | Observation |
|---|---|---|---|
| 1 | 0.85 | 0.60 | Initial tool selection is random, accuracy is low. |
| 2 | 0.65 | 0.75 | Agent learns to better match tools to tasks. |
| 3 | 0.45 | 0.85 | Tool scoring improves, selection accuracy rises. |
| 4 | 0.30 | 0.92 | Agent reliably picks correct tool. |
| 5 | 0.20 | 0.95 | Training converges with high accuracy. |