Removing the Human Bottleneck in Model Fine-Tuning/Pre-Training with RLAIF

With Reinforcement Learning from AI Feedback (RLAIF), we can now create Instruct- and SFT-based reinforcement learning loops for models with minimal reliance on human data. This allows models to train without human involvement in a teacher/student structure, without requiring human feedback. With the setup I built in my own homelab, I can develop my Turkish-language open-source LLM and VLM models for finance, law, and cybersecurity 24/7, with minimal human interaction.