The Llama 3 Herd of Models

Research scientist at Meta GenAI working on efficient and safe language and multimodal systems. She completed a Ph.D. in computer science at Carnegie Mellon University.

Vasu Singhal is an AI researcher focused on natural language processing, generative AI, and machine learning. He studied computer science at Stanford University and has worked on NLP research at FAIR.

Assistant professor in the University of Pennsylvania Department of Computer and Information Science whose research spans natural language processing, speech, and multimodal learning; previously a research scientist at Facebook AI Research.

Research scientist at Meta AI working on natural language processing, dialogue systems, and large language models.

Research scientist at Meta FAIR focused on multilinguality, machine translation, speech, and web-scale processing; previously a postdoctoral scholar at Stanford's Center for Research on Foundation Models.

Saurabh Pan is an AI researcher at FAIR Meta and a PhD student at Carnegie Mellon University. His work focuses on self-supervised learning, generative modeling, multimodal learning, and representation learning.

Generative AI Research Scientist at Meta and founder of Baobab AI Labs, with work spanning multilingual models, open-source LLMs, machine translation, and story generation.

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

Myle Ott is a research scientist at Meta working on the Llama models. His interests include scalable optimization, distributed systems, and language model pretraining.

Ahmad Al-Dahle is Airbnb's VP of AI. He previously founded Meta's generative AI team and helped launch the Llama models after earlier leadership work on search and Siri at Apple.

Akhil Mathur is a postdoctoral research scientist at Meta FAIR whose public homepage highlights work in natural language processing and machine learning.

Alan Schelten is a research engineer at Meta working on large language models, reinforcement learning, and deep learning. His public homepage also lists prior research experience at Berkeley, OpenAI, and BAIR.

Research scientist at Meta AI working on applied mathematics, machine learning, and artificial intelligence.

Research scientist at FAIR Meta and teacher affiliated with ENS, INRIA, and PSL.

Research scientist at OpenAI. Previously interned at FAIR and Google Brain and completed PhD research at Carnegie Mellon University.

Research scientist at OpenAI working on reinforcement learning and deep learning, with interests spanning language, vision, and sequential decision-making.

Research scientist at Meta working on post-training and model personalization. He previously worked on retrieval systems, recommendations, and ranking, and earned his Ph.D. from Stanford University.

Staff research scientist at Meta whose work focuses on democratizing natural language processing tools, especially for low-resource languages.

Member of the Llama team at Meta working on post-training, evaluation, and model reliability. He previously worked at AI2 and completed a Ph.D. in computer science at Stanford.

Machine learning researcher and research leader whose work spans deep learning, representation learning, and neural language modeling; his public profile lists him as an Apple Distinguished Scientist in AI/ML.

Carolyn Zhang is a researcher focused on large language models, natural language processing, and machine learning.

Siddharth Narayan is a researcher focused on natural language processing and AI, with applications that include healthcare.

Machine learning engineer at FAIR at Meta AI and incoming PhD student at Carnegie Mellon University.

Member of technical staff at OpenAI, author of Dive into Deep Learning, and a core contributor to the Llama 3 model. He earned his Ph.D. in computer science from the University of Illinois Urbana-Champaign.