Atlas / Reports / Detail
Gemma 2: Improving Open Language Models at a Practical Size
Large Language Models report from Google Gemini with 19 connected researchers in the LLMpeople atlas.
Connected researchers
Yuntian Deng
Google Gemini
Yuntian Deng is a machine learning researcher whose public work spans language modeling, reasoning, and large multimodal systems.
Brennan Saeta
Google Gemini
Public report authorship links Brennan Saeta to the Gemma 2: Improving Open Language Models at a Practical Size at Google.
Biao Zhang
Google Gemini
Researcher at Google DeepMind working on multilingual machine translation, speech-to-text translation, and efficient neural machine translation.
Emilia Antonucci
Google Gemini
Google researcher whose public profile lists work across machine learning, natural language processing, and generative AI.
Feliciano Giannone
Google Gemini
Research scientist at Google DeepMind in Cambridge working on large language models and generative AI.
Minhao Cheng
Google Gemini
Minhao Cheng is an assistant professor in the College of Information Sciences and Technology at Penn State. His homepage says he earned a PhD in computer science from UCLA under Cho-Jui Hsieh, served as an assistant professor at HKUST before joining Penn State in Spring 2024, and broadly studies machine learning with a focus on trustworthy machine learning and AutoML.
Jasmine Hall
Google Gemini
Staff research engineer at Google DeepMind working on language models and technical infrastructure.
Victoria McGough
Google Gemini
Google researcher whose publications include the Gemma 2 technical report.
Kaushik Roy
Google Gemini
Public report authorship links Kaushik Roy to the Gemma 2: Improving Open Language Models at a Practical Size at Google.
Braden Hancock
Google Gemini
Braden Hancock is a researcher at Google DeepMind whose public homepage highlights work on large language models, weak supervision, and knowledge representation.
Sina Samangooei
Google Gemini
Sina Samangooei is a machine learning researcher whose public work includes multimodal learning and open language models.
Yue Wu
Google Gemini
Research scientist at Google Research focused on language and multimodal models, with interests spanning natural language processing, computer vision, and speech.
Nikolas Nado
Google Gemini
Research Scientist at Google DeepMind focused on post-training large language models and evaluation.
Gustavo de Rosa
Google Gemini
Research scientist at Google DeepMind working on language models, multimodal learning, evaluation, and alignment.
Julian Schrittwieser
Google Gemini
Julian Schrittwieser is a Google DeepMind researcher known for reinforcement learning and game-playing systems.
Thomas B. Brown
Google Gemini
Thomas B. Brown is a research scientist at Google DeepMind whose work focuses on language models, multimodality, and reasoning.
Fraser Green
Google Gemini
Research scientist at Google DeepMind working on language models and efficient sampling and serving.
Jimmy Lee
Google Gemini
Public report authorship links Jimmy Lee to the Gemma 2: Improving Open Language Models at a Practical Size at Google.
Jason Baldridge
Google Gemini
Jason Baldridge is a Research Scientist at Google DeepMind working on natural language understanding, multimodal learning, and evaluation.