LLaMA: Open and Efficient Foundation Language Models

Research scientist at Meta FAIR focused on computer vision and multimodal understanding, including image and video models, visual reasoning, large-scale training, and evaluation.

Armand Joulin is a researcher and the cofounder and chief scientist of Mistral AI. Public arXiv records also list him as an author of LLaMA: Open and Efficient Foundation Language Models.

Research scientist at Meta working on AI agents, language, and reinforcement learning.

Timothee Lacroix is a machine learning researcher whose public work includes multilingual representation learning and open language models.

Edouard Grave is a machine learning researcher whose public work spans representation learning, natural language processing, and large language models.

Eric Hambro is a machine learning researcher and entrepreneur whose prior work includes contributions at Meta AI and the LLaMA project.

Chief AI scientist at Mistral AI and co-founder of Kyutai. Previously worked on large language models and machine translation at Meta and earned a PhD in computer science at Sorbonne University and Inria Paris.

Research scientist at Meta GenAI in Menlo Park working on foundation models, language generation, and evaluation.

Research scientist at Meta working on large language models and coding assistants. He previously worked on pre-training language models and neural machine translation and completed a PhD in natural language processing at Sorbonne University.

Faisal Azhar is a PhD candidate in computer science at Stanford University. His work focuses on multimodal systems that unify text, image, and speech, together with efficient training and inference for large-scale machine learning.

Marie-Anne Lachaux is a research scientist at Meta whose public homepage highlights work on large language models, multilingual models, and speech.

Research scientist at Meta whose work focuses on efficient large language models and multilingual NLP.

Researcher whose public work focuses on retrieval, question answering, and large language models; arXiv author results include the LLaMA paper.

Research scientist at Meta working on multimodal foundation models and open-source AI. His homepage says he leads multimodal efforts at Meta AI and contributes to open-source model releases.