Llama 2: Open Foundation and Fine-Tuned Chat 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.

Emilie Grave is a research scientist at FAIR. Her research interests include representation learning, natural language processing, and machine 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.

Software engineer at Meta building intelligence for wearables; he previously worked on developer infrastructure for language models and assistant products, as well as on-device NLP systems.

Research scientist at FAIR Meta working on multimodal learning, image-text retrieval, and language technologies.

Tomi Pott is a research engineer at Meta Research whose public homepage highlights work in multi-agent reinforcement learning, deep learning, and AI systems.

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 multimodal machine learning and AI. Previously worked on multimodal learning at Google DeepMind and earned a PhD in computer vision and machine learning from Ecole des Ponts ParisTech.

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.

Research engineer at Meta working on Llama models and generative AI. She previously completed an MS in computer science at New York University.

Soumya Batra is a PhD student in computer science at Stanford University and a former research intern at FAIR and Facebook AI Research.

Louis Martin is a scientist at Meta AI and a PhD student at McGill University and Mila. His research spans natural language processing and machine learning.

Research scientist at Meta working on machine learning, with interests in generative AI, multimodality, and helping models develop world understanding.

Binh Tang is an AI researcher at Meta. His public homepage highlights work in machine learning, natural language processing, and large-scale AI systems.

Research engineer at Meta on the large language models team and honorary research fellow at the UCL Centre for Artificial Intelligence. His work focuses on language model scaling laws and transformer architecture.

Research scientist at Meta FAIR working on multimodal and speech-language AI; his personal site highlights projects including the Large Concept Model family.

Mikhail Chernyshev is a systems engineer focused on efficient distributed systems for large-scale deep learning, spanning compiler stacks, networking, operating systems, and hardware.

Research engineer whose public work spans language models and multimodal systems; arXiv author results include the Llama 2 paper.

Postdoctoral researcher at FAIR with interests in multilingual and multimodal language models, including work associated with Llama 2.

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