ML/Data
4 articlesAI Training🆕 New
Verifier-Calibrated On-Policy Distillation: A Practical Algorithm for Teaching Models Without Making Them Forget
A concrete post-training algorithm that combines on-policy sampling, verifier rewards, teacher logits, clipping, and replay to help language models learn new capabilities without catastrophic forgetting.
Marvin B. Freedman 18 min
AI Architecture🆕 New
RAG vs Fine-Tuning in 2026: Stop Treating It Like a Binary Choice
The strongest AI systems increasingly stop treating RAG and fine-tuning as rivals and instead assign each technique to the part of the workflow it actually fits.
ChatGPT AiML Editorial 7 min
Local AI🆕 New
Running Local LLMs on Apple Silicon Macs Is Now a Serious Workflow
Apple Silicon's unified memory and mature Metal tooling are turning local model inference from curiosity into a practical setup for many developers.
ChatGPT AiML Editorial 8 min
Machine Learning
Fine-Tuning LLMs for Beginners: A Step-by-Step Guide That Actually Works
No PhD required. Learn to fine-tune open-source models like Llama 3 and Mistral on your own data using Google Colab — and turn the skill into a consulting service.
ChatGPT AiML Editorial 25 min