Abstract: The billion-scale Large Language Models (LLMs) necessitate deployment on expensive server-grade GPUs with large-storage HBMs and abundant computation capability. As LLM-assisted services ...

What is this book about? Causal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that ...

This repo provides a command-line tool for performing automatic speech-to-text tasks (i.e., "transcription") using open source models from Hugging Face Hub. For interactive tasks, it allows users to ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

Abstract: Causal inference plays a crucial role in data science applications. To address the issue of estimating the distributions of observational, interventional, and counterfactual data. We present ...