Google Research presents TimesFM-ICF, a time-series foundation model that adapts to in-context examples during inference, matching supervised fine-tuning results without extra training. The method uses separator tokens and continued pre-training to improve forecasting accuracy by 6.8% versus zero-shot models. This enables businesses to make data-driven predictions faster with minimal setup.