Srijanie Dey

1 month ago | towardsdatascience.com | Clara Chong |Srijanie Dey

Welcome to part 2 of my LLM deep dive. If you’ve not read Part 1, I highly encourage you to check it out first. Previously, we covered the first two major stages of training an LLM:Pre-training — Learning from massive datasets to form a base model. Supervised fine-tuning (SFT) — Refining the model with curated examples to make it useful. Now, we’re diving into the next major stage: Reinforcement Learning (RL).