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Building on these foundations, we examine how diffusion models can be further developed to generate samples more efficiently, provide greater control over the generative process, and inspire standalone …

Nearly 90% of notable AI models in 2024 came from industry, up from 60% in 2023, while academia remains the top source of highly cited research. Model scale continues to grow rapidly—training …

Models: Large-scale gen AI models, as well as classic machine-learning and deep-learning models, perform critical thinking and reasoning tasks to turn data into action.

Section 11.4 summarizes the types of structural analysis typically performed using VAR models. These analyses include Granger-causality tests, the computation of impulse response functions, and …

We demonstrate that language models begin to learn these tasks without any ex-plicit supervision when trained on a new dataset of millions of webpages called WebText.

Building on the adaptive memory introduced by Dynamic Cheatsheet, we introduce ACE (Agentic Context Engineering), framework that treats contexts as evolving playbooks that accumulate, refine, …