mirror of
https://github.com/microsoft/SkillOpt.git
synced 2026-07-03 22:24:36 +08:00
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
542 B
Python
16 lines
542 B
Python
"""SkillOpt Gradient -- trajectory analysis and patch generation.
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Analogous to gradient computation in neural network training: analyzes
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minibatch rollout trajectories to produce skill-edit patches (the "gradient"
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that drives skill updates).
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Modules
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-------
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- reflect: minibatch trajectory analysis (gradient computation)
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- aggregate: hierarchical patch merging (gradient aggregation)
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"""
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from skillopt.gradient.reflect import ( # noqa: F401
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run_minibatch_reflect,
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)
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from skillopt.gradient.aggregate import merge_patches # noqa: F401
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