So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Abstract: Motivated by modern applications such as computerized adaptive testing, sequential rank aggregation, and heterogeneous data source selection, we study the problem of active sequential ...
This paper presents a task planning and resource scheduling algorithm based on a regret-driven greedy strategy and dynamic programming. The algorithm addresses key challenges such as resource ...
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