Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

In stage 1, researchers pre-train the cross-lingual MOSS-base model with public text and code corpora. In stage 2, they first perform supervised fine-tuning (SFT) with synthetic conversational data ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...