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) Tue, 30 Jun 2026 00:00:00 GMT https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-text-embedding-models.en https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-text-embedding-models.en Text embeddings are the heart of search and RAG systems. We walk through contrastive learning and InfoNCE, dual encoders, hard negatives, the E5/BGE/GTE families, Matryoshka representation learning, and the MTEB benchmark, along with practical guidance. Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersembeddingretrievalragcontrastive-learningmtebmatryoshka https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-text-embedding-models.ja https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-text-embedding-models.ja テキスト埋め込みは検索とRAGシステムの心臓です。対照学習とInfoNCE、デュアルエンコーダ、ハードネガティブ、E5/BGE/GTE系列、Matryoshka表現学習、MTEBベンチマークまで、最新埋め込みモデルの原理と実務適用を整理します。 Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersembeddingretrievalragcontrastive-learningmtebmatryoshka https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-text-embedding-models https://www.youngju.dev/blog/ai-papers/2026-06-30-sota-text-embedding-models 텍스트 임베딩은 검색과 RAG 시스템의 심장입니다. 대조학습과 InfoNCE, 이중 인코더, 하드 네거티브, E5/BGE/GTE 계열, Matryoshka 표현학습, MTEB 벤치마크까지 최신 임베딩 모델의 원리와 실무 적용을 정리합니다. Tue, 30 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersembeddingretrievalragcontrastive-learningmtebmatryoshka