<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Tensor Cortex Insights</title><description>Evidence-led guides on datasets, evaluation, Apple Silicon, MLX, fine-tuning, distillation, reproducibility, and open-model packaging.</description><link>https://tensorcortex.com/insights/</link><language>en</language><item><title>Why You Need a Baseline Before Fine-Tuning a Local LLM</title><link>https://tensorcortex.com/insights/baseline-before-fine-tuning-local-llm/</link><guid isPermaLink="true">https://tensorcortex.com/insights/baseline-before-fine-tuning-local-llm/</guid><description>A practical protocol for measuring the base model, protecting the holdout, and deciding whether a local fine-tuning experiment actually improved the task.</description><pubDate>Sat, 29 Aug 2026 16:00:00 GMT</pubDate><category>Dataset and evaluation</category><author>Tensor Cortex Editorial</author></item></channel></rss>