Pengchuan Zhang
speaker
270 appearances
1 recordings
1 series
first heard Dec 2025
last heard 18 Dec
Pengchuan Zhang’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 Dec 2025 with 1.
Appearances
The journey of our data engine to make it
In fact, we know we kind of maintain this kind of information, exhaustivity, which one is cloud, which one is easy, because first kinda in our data engine when human announces then we exactly know which kind of which data one are exhaustivity by the model which part we need a human intervene.
In fact, we have that kind of uh metadata in our data set.
The second one is that the better kind of
And the more beautiful part is we have this kind of exhaustivity AI annotator.
Then we can kinda give a new data point, we can automatically decide whether this is a difficult uh kind of data point or can uh easy data point by this AI annotator.
Optimistic about this.
And of first, indeed, kinda our current plan for next project is kind of this kind of fully automated data engine without humans.
That's our dream.
I would say that that will can I think that is the kind of perfect thing, but still we need some kind of useful information.
There's no free launch.
There's kind of something kind of no kinda no model can do well, and we need human to inject that useful information.
I would've said that one kinda
factor we can do is really min minimal human intervention.
Human only do the tasks that can the model cannot do, the most kind of difficult task.
So that's the kind of kind of first one, kind of internal data engine.
The second one is about human performance and this kind of PCS task.
My thing is that this kind of computer vision is going to enter this kind of when we get to human performance
Performance, we will enter this RAO, HF domain of computer vision.
So you can see that language models can before in the birth age, the language model are not human performance.
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