https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-synthetic-data-generation-2026-gretel-mostly-ai-tonic-hazy-synthea-sdv-mimesis-faker-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-synthetic-data-generation-2026-gretel-mostly-ai-tonic-hazy-synthea-sdv-mimesis-faker-deep-dive.en In 2026, synthetic data is no longer the "fallback when real data is missing." GDPR/HIPAA walls, imbalanced classes, rare cases, and an LLM industry thirsting for trillions of training tokens have promoted synthetic data to first-class citizen. The new map after MOSTLY AI acquired Gretel, Tonic's RDBMS masking stack, the CTGAN/TVAE of MIT-born SDV, the Synthea simulator of healthcare, and the LLM-era pipelines Distilabel · Self-Instruct · Magpie — this article maps the whole landscape from tabular to image, video, code, and instruction synthesis. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) synthetic-datagretelmostly-aitonichazysyntheasdvmimesisfakerdistilabelargillaprivacyml-data2026deep-diveenglish https://www.youngju.dev/blog/culture/2026-05-16-synthetic-data-generation-2026-gretel-mostly-ai-tonic-hazy-synthea-sdv-mimesis-faker-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-synthetic-data-generation-2026-gretel-mostly-ai-tonic-hazy-synthea-sdv-mimesis-faker-deep-dive.ja 2026年、合成データ(synthetic data)はもはや「本物がないときの次善策」ではない。GDPR/HIPAAの壁、不均衡クラス、希少ケース、そしてLLMが要求する数兆トークンの渇望が、合成データを一級市民へと押し上げた。MOSTLY AIがGretelを買収した後の新しい地形図、TonicのRDBMSマスキング・スタック、MIT発SDVのCTGAN/TVAE、医療のSynthea、そしてLLM時代のDistilabel・Self-Instruct・Magpieまで — テーブル形式から映像・コード・指示文合成まで、全領域を一気に整理する。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) synthetic-datagretelmostly-aitonichazysyntheasdvmimesisfakerdistilabelargillaprivacyml-data2026deep-dive日本語 https://www.youngju.dev/blog/culture/2026-05-16-synthetic-data-generation-2026-gretel-mostly-ai-tonic-hazy-synthea-sdv-mimesis-faker-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-synthetic-data-generation-2026-gretel-mostly-ai-tonic-hazy-synthea-sdv-mimesis-faker-deep-dive 2026년 합성 데이터(synthetic data)는 더 이상 "진짜 데이터의 차선책"이 아니다. GDPR/HIPAA의 벽, 불균형 클래스, 희귀 케이스, 그리고 LLM을 학습시키기 위한 수조 토큰의 갈증이 합성 데이터를 1급 시민으로 끌어올렸다. MOSTLY AI가 Gretel을 인수하며 만든 새 지형도, Tonic의 RDBMS 마스킹 스택, MIT가 만든 SDV의 CTGAN/TVAE, 의료의 Synthea, 그리고 LLM 시대의 Distilabel·Self-Instruct·Magpie까지 — 표 형식부터 영상·코드·지시문 합성까지 전 영역을 한 번에 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) synthetic-datagretelmostly-aitonichazysyntheasdvmimesisfakerdistilabelargillaprivacyml-data2026deep-dive