lessons

39 workflow runs

Drop 11: build a sandbox you would trust, rubrics as rewards, living …
completed successfully:
lessons#39:Commitea3f9e8pushedbyTarrySingh
2026-w44c
Oct 29, 20265m 11s
Drop 11: build a sandbox you would trust, rubrics as rewards, living …
completed successfully:
lessons#38:Commitea3f9e8pushedbyTarrySingh
master
Oct 29, 20265m 9s
credit underwriting module map: intro says modules 1 to 3 are built
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lessons#37:Commit648add5pushedbyTarrySingh
master
Oct 28, 20264m 42s
Drop 10: LoRA from scratch, how many items an eval needs, and PyTorch…
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lessons#36:Commitfe3f895pushedbyTarrySingh
2026-w44b
Oct 28, 20263m 40s
Drop 10: LoRA from scratch, how many items an eval needs, and PyTorch…
completed successfully:
lessons#35:Commitfe3f895pushedbyTarrySingh
master
Oct 28, 20264m 29s
Drop 9: how models lie, scorecards versus boosting, and factor models…
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lessons#34:Commit14a4942pushedbyTarrySingh
2026-w44
Oct 27, 20263m 20s
Drop 9: how models lie, scorecards versus boosting, and factor models…
completed successfully:
lessons#33:Commit14a4942pushedbyTarrySingh
master
Oct 27, 20263m 24s
lessons
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lessons#32:Scheduled
master
Oct 26, 20263m 41s
Drop 8: an agent behind a JSON-RPC session, metrics that punish corre…
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lessons#31:Commit5162fe2pushedbyTarrySingh
2026-w43c
Oct 24, 20264m 24s
Drop 8: an agent behind a JSON-RPC session, metrics that punish corre…
completed successfully:
lessons#30:Commit5162fe2pushedbyTarrySingh
master
Oct 24, 20263m 32s
Drop 7: Autodiff from scratch, chat templates and loss masking, and a…
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lessons#29:Commitc3ad73cpushedbyTarrySingh
2026-w43b
Oct 22, 20263m 32s
Drop 7: Autodiff from scratch, chat templates and loss masking, and a…
completed successfully:
lessons#28:Commitc3ad73cpushedbyTarrySingh
master
Oct 22, 20263m 17s
README: a generated roadmap timeline
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lessons#27:Commit68e37e6pushedbyTarrySingh
master
Oct 19, 20263m 16s
README: a visual map of every track and programme, with Synapsa artwork
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lessons#26:Commitf9c0e8epushedbyTarrySingh
master
Oct 19, 20263m 42s
Drop 6: Reject inference, metabolomics from raw peaks, and statistics…
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lessons#25:Commit304db64pushedbyTarrySingh
2026-w43
Oct 19, 20262m 49s
Drop 6: Reject inference, metabolomics from raw peaks, and statistics…
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lessons#24:Commit304db64pushedbyTarrySingh
master
Oct 19, 20263m 22s
lessons
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lessons#23:Scheduled
master
Oct 19, 20263m 9s
Drop 5: one client, three backends, and a mini arena
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lessons#22:Commitd07bf42pushedbyTarrySingh
2026-w42b
Oct 16, 20263m 2s
Drop 5: one client, three backends, and a mini arena
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lessons#21:Commitd07bf42pushedbyTarrySingh
master
Oct 16, 20263m 2s
Proteomics module 3 reads "As designed" while it is still specified
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lessons#20:Commit41ce7b1pushedbyTarrySingh
master
Oct 14, 20263m 13s
Drop 4: catch-up release — agents, serving and post-training, AI for …
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lessons#19:Commit360e3b7pushedbyTarrySingh
2026-w42
Oct 14, 20262m 47s
Drop 4: catch-up release — agents, serving and post-training, AI for …
completed successfully:
lessons#18:Commit360e3b7pushedbyTarrySingh
master
Oct 14, 20262m 53s
lessons
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lessons#17:Scheduled
master
Oct 12, 20262m 2s
lessons
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lessons#16:Scheduled
master
Oct 5, 20262m 1s
Roadmap names the agents track; social card lists RAG and agents
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lessons#15:Commit6c4b80cpushedbyTarrySingh
master
Oct 1, 20262m 8s