8 posts tagged NLP from Intel DevOps AI.
How zero-shot classification models can triage raw intelligence reporting without labeled datasets, and where they break down in operational environments.
R. TanakaA practical breakdown of semantic search and vector embeddings for classified intelligence document retrieval, what each does well and where each fails.
R. TanakaHow ML-powered entity resolution tackles the alias, transliteration, and identity-matching problems that break traditional intelligence workflows.
R. TanakaHow to extract structured knowledge graphs from raw intelligence reports using NLP pipelines, and why most implementations fail at the entity resolution step.
R. TanakaStatic LLM embeddings decay fast in intelligence work. Here's why temporal reasoning models change the calculus for analysts working time-sensitive collections.
R. TanakaFine-tuning large language models on classified intelligence data is harder than vendors admit. Here's what actually works inside the IC.
R. TanakaHow combining computer vision with natural language processing transforms intelligence analysis speed and accuracy.
R. Tanaka