That's a rebuild I shipped. The system: a RAG assistant for fraud analysts — ask it "how do we handle...
RAG Retrieval Accuracy: 38%. After the Fix: 87%. The Model Was Never Touched.
Related
Google AI Classroom Part 8: AI Project Supervision — Streamlined Mobile 720p Demo, 2-Stage Diarization & Fake-Log Auditing with Gemini 4
Measuring authentic student performance in capstone projects with a mobile 720p demo studio, 2-stage diarization, and fake-log auditing using Gemini 4.
How to Build an AI Agent That Fixes Bugs Reliably: Practice in Sharkly
At Sharkly, people rarely fix routine bugs by hand. Most bugs go directly to an AI agent. Sharkly is...
LLMs Locally on Consumer Hardware — Part 10: How the Setup Evolved — A Timeline of What Changed and Why
A retrospective appendix to the series: the hardware-and-model setup at every stage, from the first iteration to the final one, with each change traced to the failure that forced i...