Talfan Evans is a research engineer at DeepMind, where he focuses on data curation and foundational research for pre-training LLMs and multimodal models like Gemini. I ask Talfan: 

  • Will one model rule them all?
  • What does "high quality data" actually mean in the context of LLM training?
  • Is language model pre-training becoming commoditized?
  • Are companies like Google and OpenAI keeping their AI secrets to themselves?
  • Does the startup or open source community stand a chance next to the giants?

Also check out Talfan's latest paper at DeepMind, Bad Students Make Good Teachers.

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