mirror of
https://github.com/microsoft/SkillOpt.git
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4a1b984d87
- Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts - CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model - Remove best_skill files, keep only initial skills - Fix slow update gate (force write into skill) - Fix SLOW_UPDATE marker stripping - Remove deep_reflect and meta_reflect mechanisms - Update .env.example with export prefix and azure_cli docs - Add endpoint empty validation in azure_openai.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
16 lines
628 B
Python
16 lines
628 B
Python
"""SkillOpt Optimizer -- skill update operations.
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Analogous to the optimizer in neural network training: applies the computed
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"gradient" (patches) to the current skill document to produce an updated
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candidate skill.
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Modules
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-------
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- skill: edit application (optimizer.step() / parameter update)
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- clip: edit ranking and selection (gradient clipping)
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- slow_update: longitudinal comparison and guidance (EMA / regularization)
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- meta_skill: cross-epoch memory for optimizer context
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"""
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from skillopt.optimizer.skill import apply_edit, apply_patch # noqa: F401
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from skillopt.optimizer.clip import rank_and_select # noqa: F401
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