[Hands-on] Build Your Reasoning LLM

Reinforcement fine-tuning (RFT) allows the transformation of open-source LLMs into advanced reasoning models without needing labeled data. The post guides using Predibase for RFT to enhance Qwen-2.5:7b. It contrasts RFT with supervised fine-tuning (SFT), highlights the steps involved in setting up and training using the Countdown dataset, and explains the reward functions used for model evaluation.