Publications/Blogs

Blogs

1. https://sambanova.ai/blog/accurate-models-at-blazing-speed
2. Jain, Swayambhoo, et al. “Samba-Coe v0.1 - Unlocking the Power of Routing to Build a Composition of Experts.” SambaNova Systems, SambaNova Systems, 5 Mar. 2024, sambanova.ai/blog/samba-coe-v01-composition-of-experts.
3. https://sambanova.ai/blog/training-long-sequence-size-models-on-sambanova
4. https://sambanova.ai/blog/introducing-bloomchat-176b-the-multilingual-chat-based-llm

Thesis

1. R Raju, Towards Efficient Inference and Improved Training Efficiency of Deep Neural Networks, The University of Wisconsin-Madison, August 2022. [pdf]

Research Articles

1. R. S. Raju, K. Daruwalla, M. Lipasti, Accelerating Deep Learning with Dynamic Data Pruning, November, 2021. [pdf]
2. Ravi Raju, Dibakar Gope, Urmish Thakker, and Jesse Beu. 2020. Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions. In Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT ‘20). Association for Computing Machinery, New York, NY, USA, 27–33. DOI:https://doi.org/10.1145/3417313.3429381 [pdf]
3. R. S. Raju and M. Lipasti, “BlurNet: Defense by Filtering the Feature Maps,” 2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2020, pp. 38-46, doi: 10.1109/DSN-W50199.2020.00016. [pdf]