Monitoring resource usage helps ensure efficiency and prevents bottlenecks. High GPU usage during training may indicate that your model is effectively utilizing available computational power.
This is the text view of an interactive 3D knowledge graph — open this page with JavaScript enabled to explore it visually.
🧠 Knowledge Graph
Select a node
The owner's editing tools — shown here so you can see how the graph is grown, but read-only.
Click a bubble to drill in · click again to collapse · drag to move around
Quiz
Proposed changes
⚠️ Includes destructive changes (merge/delete). They can still be reverted with Undo after applying.
🔒 Only the owner can edit this graph
You're browsing a read-only snapshot. The editing tools are shown so you can see how the graph is grown, but changes are disabled here — exploring, searching and path-finding all work.