CMU Researchers Present FlexLLM: An Artificial Intelligence System that can Serve Inference and Parameter-Efficient Finetuning Requests in the Same Iteration

In artificial intelligence, the surge in large language model (LLM) development has significantly transformed how machines understand and generate text, mimicking human conversation with remarkable accuracy. These models have become integral to various applications, including but not limited to content creation, automated customer support, and language translation. However, deploying these models in practical scenarios is […]

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