Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
When Zaharia started work on Spark around 2010, analyzing "big data" generally meant using MapReduce, the Java-based ...
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Abstract: Knowledge-based Visual Question Answering (VQA) is a challenging task that requires models to access external knowledge for reasoning. Large Language Models (LLMs) have recently been ...
Abstract: We present a generative predictive control (GPC) framework that amortizes sampling-based Model Predictive Control (SPC) by bootstrapping it with conditional flow-matching models trained on ...