Synthetic Data for LLM Fine-Tuning: Generation, Quality Filtering and Avoiding Model Collapse
Synthetic data for LLM fine-tuning explained: self-instruct, distillation, rejection sampling, quality filters, decontamination and how to avoid model.
OpenAI Distillation Campaign: How CoT Extraction Works and How to Defend
OpenAI disrupted a coordinated chain-of-thought distillation campaign. How distillation attacks work, how to detect them, and API defenses.
LoRA vs QLoRA vs Full Fine-Tuning vs Distillation: Choosing a Method for CPU-Deployed Small Models in 2026
Which fine-tuning method for a small model you will deploy on CPU: VRAM budgets, the merge-target trap worth 14 points, and when distillation is actually worth it.