Empromptu AI says most enterprises waste the most valuable training signal: the corrections experts make to outputs from AI apps already in production. Its new Alchemy Models captures validated responses, routes them into a continuous fine-tuning pipeline, and produces small task-specific “Expert Nano Models.” Customers own the resulting weights, but the approach is tied to Empromptu’s platform.
Adaption is launching AutoScientist, a tool meant to help AI models adapt to specific capabilities quickly. Instead of manually running conventional fine-tuning workflows, AutoScientist automates much of that process, aiming to reduce time and effort while still getting targeted performance. The push signals a broader shift toward self-directed training pipelines and faster iteration in model development.
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