Nataniel Ruiz is an AI researcher and co-author of both the DreamBooth fine-tuning technique (Google Research / Boston University) and the Platypus 70B LLM, demonstrating quick and cost-effective refinement of large language models using curated datasets. His work spans text-to-image generation and open-source LLM fine-tuning.
Nataniel Ruiz appeared as a guest on ThursdAI, the weekly AI news podcast hosted by Alex Volkov. Browse the full guest directory or subscribe on Substack to never miss an episode.
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