{"id":"833efcb8-7ef1-4a04-9836-42cc553d8e2c","url":"https://api.tumn.com/news/833efcb8-7ef1-4a04-9836-42cc553d8e2c","title":"How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications","summary":"How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications","sections":[],"faq":[],"sources":[{"url":"https://huggingface.co/blog/Dharma-AI/vocabx-vocabulary-specialization","title":"Hugging Face Blog","publishedAt":"2026-10-21T17:35:36.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-21T17:35:36.000Z","modifiedAt":"2026-10-21T20:25:49.000Z","checkedAt":"2026-10-21T20:25:49.934Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/833efcb8-7ef1-4a04-9836-42cc553d8e2c.json","markdown":"https://api.tumn.com/news/833efcb8-7ef1-4a04-9836-42cc553d8e2c.md"}}