Research to Reality: Bringing Frontier ML Research to Production
summary
Uploader promises three tactical tips to speed R&D to production and delivers concrete artifacts and workflows: a research prototype taxonomy document that captures domain context, type contracts, persistence and merge plan; a mono repo of decoupled microservices with one-to-one researcher to microservice mapping, FastAPI endpoints, Docker bridge gateway, GitHub Actions and Modal notebooks; and a decomposition + PR review pattern using Graphite for stack diffs — a setup that the team reports as working to shorten handoffs.
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chapters (7)
- 0:00Research and home building at Hyark
- 1:08Frontier ML to production
- 2:30Key focus areas for velocity
- 3:56Prototype taxonomy document
- 7:04Mono repo for ML microservices
- 10:56Decomposing prototypes
- 12:41Diagnostic frameworks
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