Google has open-sourced TimeFM, an AI model used for time-series forecasting which does not need training. The model is trained on a large time-series corpus of 100 billion real-world time points and is much smaller than traditional large language models (LLMs). It offers zero-shot forecasting with no fine-tuning required and supports up to 16,000 context lengths for deeper coverage.