This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built CartSpark is an autonomous e-commerce listing generator, unit economics price optimizer, and customer review copilot designed specifically for marketplace sellers and independent creators (Ets...
Disclosure: the case study below is VIDRAFT's own result. VIDRAFT is a technology partner of QuantID. This post reviews the measurement design; it is not an independent verification.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady . What I Built As a teacher, I know how easily important instructions get buried in long educational notices. A single circular may contain an examination deadline, a fee requirement, a list of documents...
An AI Recruiting Agent Should Schedule, Not Select: A 14-Case SME Release Test For a small employer, a useful first recruiting agent can acknowledge an application, answer approved process questions, and offer interview times. It should not rank, reject, infer suitability, interpret an accommoda...
Resumen Sí, siempre que exista una pila de entrenamiento hecha para ello. En VIDRAFT preentrenamos VKORE-325M-NPU-Base (325,6 millones de parámetros) desde una inicialización aleatoria en la Rebellions ATOM-Max , una NPU comercial coreana lanzada en 2025 y diseñada para inferencia. Entrenamos e...
요약 가능합니다. 단, 학습용 소프트웨어를 따로 만들어야 합니다. 비드래프트는 3억 2,560만 파라미터 언어모델 VKORE-325M-NPU-Base 를 무작위 초기값에서 출발해 리벨리온 ATOM-Max (2025년 출시된 상용 추론 전용 NPU)로 사전학습했습니다.