What if the very foundation of how artificial intelligence generates language was about to change? For years, AI systems have relied on token-based models, carefully crafting sentences one word at a ...

To model potential structural shifts in the data that depend on their historical values, different smooth transition autoregressive models are constructed and compared for the changes in the ...

According to @krea_ai, the company has open-sourced Krea Realtime, a 14 billion parameter autoregressive AI model that is 10 times larger than any other open-source equivalent. This breakthrough model ...

According to @krea_ai, the company has open-sourced Krea Realtime, a 14 billion parameter autoregressive AI model that is 10 times larger than any other open-source equivalent. This breakthrough model ...

Abstract: This paper proposes a new autoregressive model as an effective and scalable monocular depth estimator. Our idea is simple: We tackle the monocular depth estimation (MDE) task with an ...

This study examines how trade shocks that start in one large economy ripple through other countries and how long those effects stick around. Using quarterly bilateral-trade data for 2012-2023, the ...

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of ...

Abstract: The pre-training architectures of large language models encompass various types, including autoencoding models, autoregressive models, and encoder-decoder models. We posit that any modality ...

Language modeling plays a foundational role in natural language processing, enabling machines to predict and generate text that resembles human language. These models have evolved significantly, ...