21 citations · 21 across the 1 of their papers we have counts for
3 papers
cs.DC2024
Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Zihan Chang, Sheng Xiao, Shuibing He +3
Existing work only effective on a given number of GPUs, often neglecting the complexities involved in manually determining the specific types and quantities of GPUs needed, which c…
cs.CL2023★ 21 cited
DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation
Zhijie Bao, Wei Chen, Shengze Xiao +6
We propose DISC-MedLLM, a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthca…
cs.CV2023
MixBCT: Towards Self-Adapting Backward-Compatible Training
Yu Liang, Yufeng Zhang, Shiliang Zhang +4
Backward-compatible training circumvents the need for expensive updates to the old gallery database when deploying an advanced new model in the retrieval system. Previous methods a…