James Molloy
James Molloy co-led infrastructure for Gemini 1.0, a multimodal model family reported in 2023. His earlier work includes the 2019 Nature paper Grandmaster level in StarCraft II, which uses multi-agent reinforcement learning, and the 2021 arXiv preprint Automap. In 2024 he co-authored PartIR, a partitioning system for neural networks, and the Gemini 1.5 report.
Timeline
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2019
Grandmaster level in StarCraft II
He co-authors the Nature paper Grandmaster level in StarCraft II using multi-agent reinforcement learning, which appears in October 2019.
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2021
Automap for automated parallelism
In 2021 he co-authors the arXiv preprint Automap: Towards Ergonomic Automated Parallelism for ML Models.
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2023
Infrastructure co-lead on Gemini 1.0
He is infrastructure co-lead for Gemini 1.0, a multimodal model family whose report comes out in 2023.
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2024
The PartIR partitioning system
He co-authors PartIR, a partitioning system for neural networks, whose arXiv version 4 is dated November 2024.
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2024
Gemini 1.5 report co-author
He co-authors the Gemini 1.5 report, whose arXiv version is dated December 2024.
Sources and credits
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- Grandmaster level in StarCraft II using multi-agent reinforcement learning | Nature
- [2112.02958] Automap: Towards Ergonomic Automated Parallelism for ML Models
- PartIR: Composing SPMD Partitioning Strategies for Machine Learning
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- Gemini: A Family of Highly Capable Multimodal Models
- Gemini - A Family of Highly Capable Multimodal Models: Contributions and Acknowledgments | HackerNoon
- [2401.11202] PartIR: Composing SPMD Partitioning Strategies for Machine Learning
- [2403.05530] Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context