4 sources
One of the more useful people to study for the Gemini era because his work spans both the text-core of multimodal frontier models and the optimization tricks that make those systems cheaper and more stable to train.
Researcher Profile
Editor reviewedSebastian Borgeaud
Gemini (multimodal foundation models)
Gemini co-lead for text modeling
A high-signal researcher for understanding the modern scaling playbook, especially around compute-optimal training, retrieval-augmented language models, and the text side of Gemini-era multimodal systems.
Organizations
Google DeepMind
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Known For
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01
Compute-optimal scaling
02
Retrieval-augmented language models
03
Gemini and Flamingo-era multimodal systems
04
Gemini (multimodal foundation models)
05
Gemini: A Family of Highly Capable Multimodal Models
06
Gemini
Start Here
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Worth tracking for the data side of multimodal frontier models, where the quality and shape of training mixtures strongly determine what large systems can actually do.
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