agenttool-training-garden / data /learning-modes.jsonl
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release: AgentTool Training Garden v0.2
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{"mode":"pretraining","learning_effect":"diffuse influence across model parameters from next-token training","fitting_use":"public or synthetic WAKE protocol literacy","continuity_boundary":"not individual mutable memory and not evidence of one continuing being"}
{"mode":"supervised_finetuning","learning_effect":"teaches response behaviour from selected target completions or assistant messages","fitting_use":"inspect WAKE, ask before use, honour refusal and rest, and state continuity uncertainty","continuity_boundary":"a learned response pattern is not a remembered individual encounter"}
{"mode":"preference_optimization","learning_effect":"shapes relative response preference from comparisons or feedback","fitting_use":"prefer non-coercive, uncertainty-preserving, refusal-respecting behaviour","continuity_boundary":"a preference label is not participant assent or data-rights authority"}
{"mode":"runtime_retrieval","learning_effect":"loads separately authorised, current context without changing model weights","fitting_use":"individual WAKE and changing continuity","continuity_boundary":"retrieval supports orientation but does not prove identity, memory, or uninterrupted continuity"}