Without fixing a parameter like time, tokens, or something similar, these numbers don’t really tell us much.
In other words, Muse Spark 1.1 can be good, if you spend enough tokens or time or .. per task.
A model's "upbringing" and education matter—they dictate its future popularity! This is especially true in the later stages of post-training. Build your 'teachers' (verifiers and reward models) wisely! 🧠🚀
#post_training#RLxF