Post-training of large language models has long been clearly divided into two paradigms: supervised fine-tuning (SFT) centered on imitation and reinforcement learning (RL) driven by exploration.
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback