Building a local Retrieval-Augmented Generation system with Gemma LLM and AlloyDB
This article explores the development of a local Retrieval-Augmented Generation (RAG) system using Google’s Gemma Large Language Model (LLM) and AlloyDB, a managed PostgreSQL-compatible database service. This system aims to address the growing demand for efficient and contextually-aware Question Answering (Q&A) applications. Retrieval-Augmented Generation (RAG) Traditional information retrieval techniques often rely on keyword matching, which […]
Strategic Dissonance and the Rapid Development of AI
The concept of strategic dissonance, introduced by Robert A. Burgelman and Andrew S. Grove in their seminal work published in the 1990s, refers to the misalignment between a firm’s strategic intent and its strategic actions, often signalling a need for significant strategic shifts. Today, this phenomenon is being exacerbated by the rapid technological advancements and […]
