Denis Kocetkov

AI Developer

Large Language Models Lab

Denis is an AI Developer in the Emerging Technologies Lab at ServiceNow Research. He is interested in large language models and optimization of algorithms for speed and performance on distributed systems. Before joining ElementAI and subsequently ServiceNow, Denis worked on projects in the fields of computer vision, object recognition and video processing, biometrics, domain specific languages and DBs. After joining the company, he worked in the AI for Good team, later in ARL, and contributed to various projects including: metric few shots learning algorithms, stability analysis, satellite image objects recognition (analysis of villages destruction in Darfur civil war), satellite video stabilization and objects tracking, searching for objects in online media (like tear gas canisters detection in protests videos and photos), synthetic image generation to augment existing data in low data environments, and financial time series analysis. In various projects his contribution is from initial research and prototyping phase up to final product release.

Skills at hand: Python, C++, CUDA, parallel systems, computer vision, object recognition, biometrics, video analysis, satellite image and video processing, synthetic image generation, neural networks, time series, large language models, data ingress and processing, algorithms optimisation and prototyping.

Personal: Has a dog, does some sports

Publications

StarCoder: may the source be with you!. Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Mishig Davaadorj, Joel Lamy Poirier, João Monteiro, Oleh Shliazhko, Nicolas Gontier, Nicholas Meade, Armel Zebaze, Ming-Ho Yee, Logesh Kumar Umapathi, Jian Zhu, Benjamin Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Nour Fahmy, Urvashi Bhattacharyya, Wenhao Yu, Swayam Singh, Sasha Luccioni, Paulo Villegas, Maxim Kunakov, Fedor Zhdanov, Manuel Romero, Tony Lee, Nadav Timor, Jennifer Ding, Claire Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Jennifer Robinson, Carolyn Jane Anderson, Brendan Dolan-Gavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf , Arjun Guha, Leandro von Werra, Harm de Vries. At ArXiv, 2023.

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SantaCoder: don't reach for the stars!. Harm de Vries, Raymond Li, Joel Lamy Poirier, Dzmitry Bahdanau, Denis Kocetkov, Sean Hughes. At Workshop at the International Conference on Learning Representations (ICLR), 2023.

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Objects of violence: synthetic data for practical ML in human rights investigations. Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kocetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise. At Workshop at the Neural Information Processing Systems (NeurIPS), 2019.

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Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning. Nathan Schucher, Denis Kocetkov, Laure Delisle, Thomas Boquet, Julien Cornebise. At Workshop at the International Conference on Learning Representations (ICLR), 2019.

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