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trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback.

, , , , , , , and . EMNLP, page 8578-8595. Association for Computational Linguistics, (2023)

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BlackMamba: Mixture of Experts for State-Space Models., , , and . CoRR, (2024)Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads., , , , and . HIPC, page 22-31. IEEE, (2022)Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters., , , , and . CLUSTER, page 1-11. IEEE, (2019)trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback., , , , , , , and . EMNLP, page 8578-8595. Association for Computational Linguistics, (2023)Cross-layer Visualization and Profiling of Network and I/O Communication for HPC Clusters., , , and . CoRR, (2021)Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference., , , , and . CoRR, (2024)Emergent and Predictable Memorization in Large Language Models., , , , , , and . CoRR, (2023)RWKV: Reinventing RNNs for the Transformer Era., , , , , , , , , and 20 other author(s). CoRR, (2023)Evaluating Multi-Level Checkpointing for Distributed Deep Neural Network Training., and . SC (Workshops), page 60-67. IEEE, (2021)Accelerating GPU-based Machine Learning in Python using MPI Library: A Case Study with MVAPICH2-GDR., , , , and . MLHPC/AI4S@SC, page 17-28. IEEE, (2020)