Chelsea Finn
Everything Chelsea personally uses, recommends, or has created — plus things they don't recommend — sourced from their own show and appearances on other podcasts.
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Clear filtersMentioned in 1 episode
"The first time where we saw a general purpose model truly being used by many different people in the real world. Within five days, ChatGPT had reached a million users."
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"More recently we've seen things like Claude Code also be incredibly useful, hopefully to many of us in the real world, and other coding agents."
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"She worked at Harvey and was doing legal stuff, and she was really excited about robots, so she bought a cheap robot and basically in her bedroom played around with it and tried fine-tuning an open source model."
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"There are like Gemma for example — these companies like to support open source because it actually helps build the ecosystem around the things that they're building."
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"In language models, we have algorithms like PPO and GRPO and these have scaled to large language models and have enabled really complex reasoning."
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"We actually saw better performance from using that pre-trained model like BERT or like an ImageNet pre-trained model."
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"The first major milestone was in 2012 when we saw that a deep learning system trained from scratch first topped the ImageNet benchmark and all of the previous methods for that benchmark were specifically designed for that application."
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"In language models, we have algorithms like PPO and GRPO and these have scaled to large language models and have enabled really complex reasoning."
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"Dandelion Chocolate Factory is a few blocks from our office, and so we took a workflow that they typically have a person do — constructing cardboard boxes, labeling them, and stacking them — and we trained our robot to do exactly their real workflow."
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