Athena 3916633f4d test: validate MLX inference and scoring pipeline on M3 Ultra ... Fixes #2 - Run complete test suite: all 84 tests passing (100%) - Verify Metal 4 GPU support and hardware capabilities - Test scoring pipeline (heuristic + judge + engine) - Confirm GGUF model directory with 9 models (40.43 GB) - Document MLX backend build requirements - Update module imports from forge.lthn.ai/core/go to forge.lthn.ai/core/cli - Add comprehensive TEST-RESULTS.md with findings Platform: M3 Ultra (60 GPU cores, 96GB RAM, Metal 4) Results: All tests passing, scoring pipeline operational, MLX ready to build Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>		2026-02-16 17:24:36 +00:00
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chunk.go	feat: extract AI/ML packages from core/go	2026-02-16 15:25:55 +00:00
chunk_test.go	feat: extract AI/ML packages from core/go	2026-02-16 15:25:55 +00:00
helpers.go	feat: extract AI/ML packages from core/go	2026-02-16 15:25:55 +00:00
ingest.go	test: validate MLX inference and scoring pipeline on M3 Ultra	2026-02-16 17:24:36 +00:00
ollama.go	test: validate MLX inference and scoring pipeline on M3 Ultra	2026-02-16 17:24:36 +00:00
qdrant.go	test: validate MLX inference and scoring pipeline on M3 Ultra	2026-02-16 17:24:36 +00:00
query.go	test: validate MLX inference and scoring pipeline on M3 Ultra	2026-02-16 17:24:36 +00:00