Dr. Fei-Fei Li
speaker
372 appearances
1 recordings
1 series
first heard Nov 2025
last heard 7 Nov
Dr. Fei-Fei Li’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.
Appearances
So that's where the grayness come from.
These are large models with behaviors that are not
precisely explained mathematically.
They're inspired.
Human brain is... It has...
it has resemblance.
For example, they're made by small neuron-neural nodes that are connected in hierarchies, but human brains fundamentally work in a chemical-electrical way, the way that the neuron-neuron communication
are very complex.
Sometimes it's through spike.
Sometimes the spike also releases chemicals.
There is just this kind of nuanced function.
And also the connectivity, how one area of the brain is connected to others, are not the same as neural networks.
So we're inspired but not replicating.
So typically, AI model is given a vast amount of data.
And then some of the data are labeled with human supervision.
Like if I give AI models millions and millions of images, some are labeled cats, dogs, microwaves, chairs, and all that.
And they learn to associate the pattern with the labels.
Sometimes in recent, especially in language domain, what we call self-supervision, you give it millions and millions, trillions of documents.
And it just keeps learning to predict the next syllabus, the next word, because all the training data is showing you all these sequences of words.
And there, you don't have to give additional label.
Showing 61–80 of 372 · page 4 of 19
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