Almost every language model in service was trained by one family of software. That concentration makes a question hard to settle: how much of what is known about training a language model describes language models, and how much describes that software? Settling it needs a second implementation able to carry a model thr...
Virtual healthcare is increasingly entering clinical practice, yet health professions education has not consistently prepared learners to reconcile technological possibilities with clinical limitations and patient expectations. Multi-stakeholder evidence from lower- and middle-income settings remains limited....
Q. T. Nguyen, H. Nguyen, N. Nguyen et al.· BMC Medical Education· 0 citations
This work reports on the construction and verification of numbat, a machine-learning stack written in one general-purpose language (Zig) with no third-party runtime dependencies, and treats a widely used reference implementation as an executable specification and verify against it at five levels.
Whether independently implemented training stacks can serve as differential oracles for a whole fine-tuning pipeline, rather than the operators and inference paths that prior differential testing targets, is studied.
Thang Tran, Lan Dang· 3 citations· ⚡1
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