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- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
10 lines
303 B
Python
10 lines
303 B
Python
"""ReflACT Engine -- the training runner.
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Analogous to the Runner in mmengine: orchestrates the full training pipeline
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including rollout, gradient computation, aggregation, optimization, and
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evaluation.
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"""
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from skillopt.engine.trainer import ReflACTTrainer # noqa: F401
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__all__ = ["ReflACTTrainer"]
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