Why LLM Fine-Tuning Windows Are a Production Liability | 4MINDS
← Blog·April 8, 2026·Ghost Weights

Why LLM Fine-Tuning Windows Are a Production Liability

Scheduled retraining creates a known-bad period where your model is behind the data distribution it serves. Ghost Weights eliminates training windows with continuous shadow fine-tuning gated by eval.

ShareLinkedInX7 min read
See 4MINDS in your environment

4MINDS deploys on-prem and air-gapped on Kubernetes. No external attack surface. Built-in eval gate. Full audit trail.

Book a Demo →
Related Articles
Ghost Weights

Skill Files vs. Model Weights: Why Not All Continuous Learning Is the Same

4 min read→
Ghost Weights

4MINDS and NVIDIA Agent Toolkit: How They Fit Together

5 min read→
Ghost Weights

Zero-Downtime Model Updates: How Atomic Weight Swap Works

6 min read→