Using Jev in Domain Abuse Review: A Workflow Design
In our previous article, we trained a small selector for a single decision inside dksplit, our word splitter for domain names, and tested Jev on the same task: it does...
Read →Author: Xiaolei Wang
Built the data pipeline foundation and the staged AI pipelines on top of it. Runs model evaluation on EuroHPC supercomputers: measuring the smallest model each production task requires.
A Dedicated Selector Design: What Jev Does in General, Done for One Job
Jev has made one kind of model famous: it does not write, it chooses among fixed options and says how sure it is. This article is about a dedicated version...
Read →Station Two: A 9B That Reads the Case Card
A trained Qwen3.5-9B reads the record of a domain's use and returns one of six tags plus three sentences a person can check. On 100 held-out cards it reads at...
Read →From Ford’s Assembly Line to Local AI Pipelines
A design pattern for local AI workflows, illustrated through a UDRP-inspired domain-risk pipeline In 1913, at Highland Park, Ford's engineers broke the assembly of a flywheel magneto into 29 one-man...
Read →DKSplit on EuroHPC: Final Notes
Ten weeks have passed since we received our Playground allocation. Our GPU budget is almost spent, with fewer than 10 hours remaining. We are grateful to the EuroHPC AI Factory...
Read →Model Selection Through Structured Prompting
Over the past few months, we have been refining our domain name segmentation pipeline, experimenting with a variety of models to split domain strings into meaningful words. During this process,...
Read →DKSplit on EuroHPC: Unlocking a 4B Model’s Knowledge Through Chain-of-Thought
DKSplit on EuroHPC Series #6 In our previous posts, we ran experiments across multiple architectures on EuroHPC Leonardo: BiLSTM-CRF, DeBERTa-V3, CANINE, CharBERT, ByT5-CRF, and generative LLMs. Each architecture brought incremental...
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