Parameter-efficient fine-tuning (PEFT) methods, like low-rank adaptation (LoRA), allow large pre-trained foundation models to be adapted to downstream tasks using…
Google Research has released TimesFM-2.5, a 200M-parameter, decoder-only time-series foundation model with a 16K context length and native probabilistic forecasting…