Real-Time Data Processing: DeepSeek processes information in actual-time, guaranteeing that users all the time obtain the most modern info. • Once the model converges, 800k SFT information is collected for subsequent steps. DeepSeek-R1-Zero, educated by way of giant-scale reinforcement studying (RL) with out supervised effective-tuning (SFT), demonstrates impressive reasoning capabilities however faces challenges like repetition, poor readability, and language mixing. This time is determined by the complexity of the instance, and on the language and toolchain.