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Swift machine learning model serving scheduling: a region based reinforcement learning approach., , , , , and . SC, page 13:1-13:23. ACM, (2019)Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection., , , , and . Remote. Sens., 14 (16): 3979 (2022)SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement., , , , , and . NeurIPS, page 20531-20544. (2021)DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference., , , , , , , , , and 1 other author(s). CoRR, (2024)ZeRO++: Extremely Efficient Collective Communication for Giant Model Training., , , , , , , , and . CoRR, (2023)DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via Multi-Modal Causal Attention., , , , , , , , and . CoRR, (2023)The Age of Correlated Features in Supervised Learning based Forecasting., , , , and . INFOCOM Workshops, page 1-8. IEEE, (2021)Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things., , , , , and . IEEE Internet Things J., 7 (7): 6325-6337 (2020)DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales., , , , , , , , , and 9 other author(s). CoRR, (2023)Scalable and Efficient Machine Learning as a Service.. University of Nevada, Reno, USA, (2022)base-search.net (ftunivnevadair:oai:scholarworks.unr.edu:11714/8388).