TMax Uses Student Models to Filter Training Samples
Shahules786 · x · 2026-07-14
The author explains that TMax is a generator/student pipeline designed for terminal agents.
Core Mechanism
- Tasks are initially produced by a generator
- A task is only retained if a smaller student model can solve it at least once at pass@16
- Samples with no learning signal are discarded
- The final retained data is formatted for GRPO training
The author views this as a "generate, verify, then train" data filtering pipeline.
Related event: TMax Optimizes Terminal Agents Using Student Model Filtering(2 posts)→
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