TechniqueRAG1 recent entries13 Apr 2026IBM demonstrates extreme scale with a 100B vector databaseIBM Research demonstrated the capability to store and search across a database of 100 billion vectors, showcasing extreme-scale vector storage for AI applications. This work addresses the growing need
TechniqueFine-tuning1 recent entries15 Apr 2026Mid-training is essential for LLM reasoning, IBM study showsIBM Research has demonstrated that mid-training — a dedicated training phase between initial pre-training and fine-tuning — is essential for improving reasoning capabilities in large language models (
TechniqueMultimodal1 recent entries12 Aug 2026DocLang: a markup language for LLMsIBM has introduced **DocLang**, a new markup language specifically designed for large‑language models (LLMs). Developed by lead researcher Peter Staar and IBM’s document‑parsing team, DocLang aims to