MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Research scientist working on large-scale deep learning for speech translation, spoken language understanding, question answering, healthcare, and multimodal models.

Research scientist at Apple focused on natural language processing and machine learning.

Max Schwarzer is a reinforcement learning researcher whose work focuses on scaling and sample-efficient RL. He completed a PhD at Mila, later interned in Apple's machine learning research group, and was an author on Apple's MM1 multimodal pre-training report.

Research scientist at Apple working on efficient and multilingual language modeling, speech and language systems, and large language models.

Senior research scientist at Apple working on large multimodal foundation models, with prior work on large language models at MosaicML.

Research scientist at Apple focused on state-of-the-art machine learning and computer vision methods.

Senior researcher at Apple working on large models, multimodal learning, and speech processing, according to his personal site.

Research scientist at Apple Foundation Models working on large language models and multimodal systems; previously a research scientist at Google and Meta.

Research scientist at Apple Intelligence working on computer vision, machine learning, and natural language processing.

Distinguished scientist at Apple working on large language models and multimodal foundation models; previously held research roles at ByteDance AI Lab and MBZUAI.

Research scientist at Apple working on large language models, vision-language models, and model scaling.

Researcher working on machine learning, vision and language, computer vision, diffusion, and generative AI.

Research scientist at Apple Foundation Models working on generative AI, large language models, and multimodal models.

Research scientist at Apple Foundation Models with interests in natural language processing, structured generation, controllable generation, and algorithmic efficiency.

Research scientist at Apple working on language and vision-language modeling, AI agents, and post-training.

Machine learning researcher at Apple working on large multimodal foundation models, video generation, and vision-language systems.

Computer vision and machine learning scientist at Apple whose work includes multimodal understanding and robotics, following earlier leadership roles at Google.

Research scientist at Apple and adjunct professor at MIPT working in computer vision, image processing, and machine learning.

Research scientist at Apple focusing on understanding and generating text and images.

Research scientist at Apple focused on computer vision, machine learning, and multimodal understanding.

Sam Wiseman is an assistant professor of computer science at New York University whose research focuses on natural language processing and machine learning, including controllable generation, summarization, and learning from human feedback.

Co-author of MM1, which studies multimodal LLM pre-training.

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