wolfIP is a TCP/IP stack with no dynamic memory allocations, designed to be used in resource-constrained embedded systems. Endpoint only mode is supported, which means that wolfip can be used to ...
Abstract: Structured sparsity enables deploying large language models (LLMs) on resource-constrained systems. Approaches like dense-to-sparse fine-tuning are particularly compelling, achieving ...
Abstract: Continual learning (CL) focuses on learning non-stationary data distribution without forgetting previous knowledge. The most widely used memory-replay approaches are often prone to memory ...
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