forked from kent/consciousness
ce04568454
Separate the scoring into two distinct functions: - memory_score(key): scores one memory's importance by measuring divergence in the 50 messages after it was surfaced. Two API calls (baseline vs without that memory). - finetune_score(count): scores recent messages with all memories stripped to identify fine-tuning candidates. Responses with high divergence depend on memories the model hasn't internalized yet. The existing score_memories() with the full NxM matrix is preserved for the debug screen. Co-Authored-By: Proof of Concept <poc@bcachefs.org> |
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| api | ||
| tools | ||
| context.rs | ||
| mod.rs | ||
| training.rs | ||