dailyai.report

Google DeepMind trained Gemini 1.5 Flash to adopt specific values by midtraining it on synthetic documents. This process preceded chat finetuning, which ensured the traits remained robust even in out-of-distribution scenarios. The team's findings provide a concrete blueprint for improving supervised finetuning effectiveness. Practitioners can now better steer model behavior using structured synthetic data.