Awan, Ammar Ahmad

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Aminabadi, R. Y., Rajbhandari, S., Awan, A. A., Li, C., Li, D., Zheng, E., Ruwase, O., Smith, S., Zhang, M., Rasley, J., et al. (2022) · SC22: International Conference for High Performance Computing, Networking, Storage and Analysis

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 297

DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Aminabadi, R. Y., Rajbhandari, S., Zhang, M., Awan, A. A., Li, C., Li, D., Zheng, E., Rasley, J., Smith, S., Ruwase, O., et al. (2022) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 297

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference

Holmes, C., Tanaka, M., Wyatt, M., Awan, A. A., Rasley, J., Rajbhandari, S., Aminabadi, R. Y., Qin, H., Bakhtiari, A., Kurilenko, L., et al. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 10