Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. it is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
日本語の概要は準備中です。原文の説明を表示しています。
jeremylongshore/tons-of-skills-marketplace☆ 2,8322026年10月12日 更新
Deep analysis of knowledge distillation techniques for compressing large models into smaller efficient ones
日本語の概要は準備中です。原文の説明を表示しています。
curiositech/windags-skills☆ 132026年10月12日 更新
Choose what kind of knowledge to transfer between teacher and student models: response, feature, or relational, and decide among offline, online, self, or cross-modal distillation schemes. Best for distillation strategy selection, capacity-gap diagnosis, and transfer planning. Activate on "knowledge distillation", "teacher-student", "soft labels", "feature distillation", "online distillation", or "cross-modal transfer". NOT for generic compression checklists or unrelated training work.
日本語の概要は準備中です。原文の説明を表示しています。
curiositech/windags-skills☆ 132026年10月12日 更新