2.8m Gmail.txt ❲Premium❳

To break the plateau, the authors implement a two-stage Reinforcement Learning (RL) process [11].

: The SFT stage requires 60 hours of training on 16 H800 GPUs . The RL stages take an additional 34 hours on 24 H800 GPUs [11]. 2.8M GMAIL.txt

: Uses 22k data pairs focusing on textual accuracy ( To break the plateau, the authors implement a