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
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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