AI

Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more…

For AIMultiple’s accounting, we have been testing free invoicing solutions for the past decade, processing a few hundred invoices per year. Based…

Large language models (LLMs) use extensive computational resources to process and generate human-like text. One emerging technique to enhance reasoning capabilities in…

Mathematical Large Language Models (LLMs) have demonstrated strong problem-solving capabilities, but their reasoning ability is often constrained by pattern recognition rather than…

Hypothesis validation is fundamental in scientific discovery, decision-making, and information acquisition. Whether in biology, economics, or policymaking, researchers rely on testing hypotheses…

Modern wearable devices can conveniently record various biosignals in the many different environments of daily living, enabling a rich view of individual…

Inference with transformer-based language models begins with a prompt processing step. In this step, the model generates the first output token and…

This work was done in collaboration with Swiss Federal Institute of Technology Lausanne (EPFL). Image tokenization has enabled major advances in autoregressive…

Multimodal Large Language Models (MLLMs) have demonstrated a wide range of capabilities across many domains, including Embodied AI. In this work, we…