CodeGemma: Open Code Models Based on Gemma

Research scientist focused on machine learning and natural language understanding, with work spanning machine translation, semantic parsing, and large-scale language modeling.

Kevin Lin is a software engineer at Google DeepMind based in New York City. His public homepage highlights work on machine learning systems, inference, reasoning, and large language models.

Xinyun Chen is a machine learning researcher at Meta FAIR. Her work spans large language models, code generation, mathematical reasoning, and efficient inference.

Research scientist at Google DeepMind whose interests span code generation, natural language processing, and generative AI.

Member of Technical Staff at Google DeepMind working on machine learning, natural language processing, and large language models.

Distinguished Scientist at Google Research and one of the inventors of the transformer architecture; his work also includes language models, speech recognition, and multi-agent reinforcement learning.

Research scientist at Google DeepMind working on efficient and effective language model post-training. His public homepage notes interests in model architecture, post-training, and reasoning, and lists him as based in New York City.

Stefano Ermon is a Stanford University professor whose research spans machine learning, generative modeling, and AI for science.

Research scientist at Google DeepMind focused on long-context and memory-augmented models. His public profile describes work on architectures and algorithms that help models reason over real-world data.

Research scientist at Google DeepMind in Mountain View working on machine learning, reinforcement learning, and robotics.

Research Director at Google working on machine learning, production systems, and sociotechnical AI.

VP at Google DeepMind working on deep learning, computer vision, and language understanding.

Google DeepMind researcher working on machine learning and language models.

Nikita Botev is a research scientist at Google DeepMind. His public homepage highlights work in machine learning, generative modeling, and large-scale AI systems.

Piero Molino is a software engineer and researcher working on machine learning systems, distributed systems, and data management for large-scale AI.

Taylor Berg-Kirkpatrick is an associate professor of computer science at UCLA whose research focuses on natural language processing and machine learning. Public sources also list him as a coauthor of CodeGemma.

Co-author of the PaLM 2 Technical Report, which describes Google's multilingual and reasoning-oriented language model.

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