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Snider 9b7a0bc30a docs: LEM conversational training pipeline design 
Design for native Go ML training pipeline replacing Python scripts.
Key components: training sequences (curricula), layered LoRA sessions,
sandwich generation, interactive lesson-based training, native Go
LoRA via MLX-C bindings. No Python dependency.

Co-Authored-By: Virgil <virgil@lethean.io>
2026-02-17 16:55:52 +00:00
..
2026-02-05-core-ide-job-runner-design.md feat(jobrunner): add automated PR workflow system (#329) 2026-02-05 10:36:21 +00:00
2026-02-05-core-ide-job-runner-plan.md feat/ml-integration (#2) 2026-02-16 06:19:09 +00:00
2026-02-05-mcp-integration.md feat/ml-integration (#2) 2026-02-16 06:19:09 +00:00
2026-02-17-lem-training-pipeline-design.md docs: LEM conversational training pipeline design 2026-02-17 16:55:52 +00:00