Temas / fine-tuning efficacyPunto de vista parafraseado
Task data and fine-tuning drove the performance gains
Piero Molino says the vast majority of value in his experiments came from data for the task and from fine-tuning after training. He describes the base model as more or less an independent variable.
Detrás de la opinión
Las traducciones son para facilitar la lectura; los extractos originales siguen siendo la source evidence.
Piero Molino on AI in Games
Extracto original
The vast majority of the value was coming from the data for the task. The base model was more or less an independent variable. The actual effect was coming from the fine-tuning and the increased performance that you get after post-training.