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v0.6: k-NN local analogy (k=5 sweet spot), scaling to 90MB corpus (char 94%, BPE 99.3%), multi-domain demo (4/4 unseen capitals), honest limits documented

9ffc94b verified 9 days ago

__pycache__
v0.6: k-NN local analogy (k=5 sweet spot), scaling to 90MB corpus (char 94%, BPE 99.3%), multi-domain demo (4/4 unseen capitals), honest limits documented 9 days ago
gen_datasets.py

9.46 kB
Initial release: ENSEMBLE training-free AI — compressed .exp experts + Kuramoto brain 16 days ago
make_results.py

10.6 kB
Initial release: ENSEMBLE training-free AI — compressed .exp experts + Kuramoto brain 16 days ago
run_benchmark.py

10.8 kB
Initial release: ENSEMBLE training-free AI — compressed .exp experts + Kuramoto brain 16 days ago
run_bpe_vs_char.py

6.98 kB
v0.2: global shared BPE tokenizer + persistent central brain memory + brain save/load. BPE lifts quality ceiling (TinyStories 150KB D=5000: next-token acc 94.5% -> 98.5%, latency 112ms -> 28ms, RAM halved). BrainMemory grows via thinking and survives save/load. 75 tests. 15 days ago
run_factual.py

3.48 kB
v0.5: factual generalization via dense analogy. learn_relation + solve_analogy implement Mikolov paris-france+spain=madrid in normalized dense space, averaged over known examples, excluding the query slot. Wired into structural answer() so unseen slots get plain-text answers. Measured end-to-end via the Brain with fastText: capitals holdout goes 0% (char) / 0% (structural) -> ~50-67% factual-correct (spain->madrid, portugal->lisbon, greece->athens, norway->oslo recovered correctly). from_fasttext uses batch projection (fast load). The semantic wall is broken. 109 tests. 15 days ago
run_generalization.py

4.73 kB
v0.3: structural query encoding (patterns + slots) for generalization. Expert.from_qa_pairs now accepts patterns=[...]; questions matching a template are encoded as bind(pattern_hv, slot_hv). On a capitals holdout benchmark, char-level returns empty 100% of the time on unseen slots; structural returns a well-formed answer 100% of the time (+100 pts graceful degradation). Honest: format-generalized guesses by analogy, not factual correctness (no embeddings). 91 tests passing. 15 days ago