<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Fine-Tuning on cloudlogic.dev</title><link>https://cloudlogic.dev/tags/fine-tuning/</link><description>Recent content in Fine-Tuning on cloudlogic.dev</description><image><title>cloudlogic.dev</title><url>https://cloudlogic.dev/img/logo/cl4.webp</url><link>https://cloudlogic.dev/img/logo/cl4.webp</link></image><generator>Hugo -- 0.158.0</generator><language>en</language><managingEditor>contact@cloudlogic.dev (sanj)</managingEditor><webMaster>contact@cloudlogic.dev (sanj)</webMaster><lastBuildDate>Sat, 11 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cloudlogic.dev/tags/fine-tuning/index.xml" rel="self" type="application/rss+xml"/><item><title>Fine-Tuning Financial Judgment Models: Bridgewater and Thinking Machines in Production</title><link>https://cloudlogic.dev/2026/07/16/fine-tuning-financial-judgment-models-bridgewater-and-thinking-machines-in-production/</link><pubDate>Thu, 16 Jul 2026 00:00:00 +0000</pubDate><author>contact@cloudlogic.dev (sanj)</author><guid>https://cloudlogic.dev/2026/07/16/fine-tuning-financial-judgment-models-bridgewater-and-thinking-machines-in-production/</guid><description>Bridgewater AIA Labs and Thinking Machines Lab fine-tuned Qwen3-235B to achieve 84.7% accuracy on financial document triage — outperforming GPT-5.5 at 13.8x lower cost. What this means for fintech AI strategy.</description></item></channel></rss>