Abstract: Policy distillation is a widely used class of deep reinforcement learning transfer approaches designed to minimize the divergence between student and expert policies. These methods ...
Abstract: Large language models demonstrate impressive performance on downstream tasks, yet requiring extensive resource consumption when fully fine-tuning all parameters. To mitigate this, Parameter ...
FlyLoRA: Boosting Task Decoupling and Parameter Efficiency via Implicit Rank-Wise Mixture-of-Experts
Low-Rank Adaptation (LoRA) is a widely used parameter-efficient fine-tuning method for foundation models, but it suffers from parameter interference, resulting in suboptimal performance. Although ...
See Configuring Claude Desktop / Claude Code for examples. A comprehensive Microsoft SQL Server client implementing the Model Context Protocol (MCP). This server provides extensive SQL Server ...
Authorities in Greene County executed a search warrant on Wednesday in connection with an ongoing investigation into suspected child pornography possession and distribution. The Greene County ...
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