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 ...
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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 ...
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