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In the early days of business intelligence, organizations struggled with fragmented data, inconsistent reporting, and decisions that moved more slowly than the problems they were m...
How to optimize context, a precious finite resource for AI agents The post Context Engineering for AI Agents: A Deep Dive appeared first on Towards Data Science.
One centralized metadata layer or distributed sources? Explore the case for federated context in the agentic era, and when centralization still wins.
Building intuitive AI products requires designing for context managementSelecting the right context among the noise can make the world of differenceLarge language models are becomi...
Contextual Inquiry || What is it? A research method that involves observing people in their natural context (in person or remotely for some topics), and asking semistructured a...
This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorp...
Enterprise AI has reached an inflection point. After a wave of experimentation with LLMs, engineering leaders are discovering a hard truth: better models alone don’t deliver better...
Article 7 of 9 in the series.Picture a Product Owner and a Developer, together in an afternoon Teams call, reviewing a story that was researched, drafted, and designed by their Ref...
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