New Features

Platform for AI (PAI) - Model distillation function released

PAI-Model Gallery introduces one-click model distillation, transferring capabilities from large models to smaller ones. This helps users boost model performance and cut deployment costs through a simple, configuration-based process.
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Target customers: Developers, AI startups, cost-sensitive medium-to-large enterprises, and organizations in verticals like finance, e-commerce, and manufacturing that require model lightweighting. New features /specifications: Powered by PAI's proprietary EasyDistll library, this feature provides a productized model distillation solution. It transfers knowledge from a large "teacher" model to a smaller "student" model and supports online synthesis of distillation data, including instruction data for generative models and Chain-of-Thought (CoT) data for reasoning models. This allows the student model to approach or match the teacher model's performance on specific tasks, helping you improve performance while reducing deployment costs.

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