Is In-Context Learning - Learning? Evidence From 1.89M Predictions In-context learning (ICL) is the claim that an autoregressive large language model can learn a task from a handful of examples in its prompt, then generalize without updating weights. The paper Is In-... chain-of-thought formal languages generalization ICL in-context learning OOD prompting
Chronos-2: Transforming Time Series Forecasting with Universal Flexibility Chronos-2, Amazon’s latest time series foundation model (TSFM) is a forecasting model that seamlessly adapts to any scenario be it weather, retail trends, or cloud infrastructure metric, without the h... AI research Chronos-2 forecasting foundation models in-context learning machine learning time series
Unlocking the Power of Generalizable Tabular Models with Synthetic Priors Tabular data drives vital decisions across sectors like healthcare, finance, and retail, but most machine learning solutions for these datasets are narrowly optimized and lack broad applicability. Tod... AutoGluon benchmarking foundation models in-context learning machine learning synthetic data tabular data