Eiso Kant
speaker
1,158 appearances
1 recordings
1 series
first heard Jul 2026
last heard 23 Jul
Eiso Kant’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 Jul 2026 with 1.
Appearances
Something that's very common, like just basic.
Like just in time.
Just in time, like good computer science, like principle.
And that was one of the first things that I think unlocked the model factory.
Because the moment you start thinking about, well, a training job, it doesn't matter if it's a big hero run or a small, like, you know, post-training experiment, consumes a certain number of tokens per second, right?
And it's actually not a lot, right?
From like a data, moving data perspective.
Right.
So we said, well, we have our training cluster.
And then we've got like our AWS kind of setup where we can build these amazing big data pipelines.
We can set things up.
We use Spark underneath the hood, like all these things.
No, it's our internal, like just running like our- Side web services.
Exactly.
Our stuff running on like an AWS account or on like any hardware, right?
Yeah, yeah.
And so once we made that shift into, I can stream data into training, right?
all of a sudden you realize a lot of things on lock because now you don't have to wait for the whole data set to materialize.
Now, all of a sudden, when you're running data experiments about mixing data, it's a config because you've got these data sources that are coming in and you just set, you have the search called blender that's in the report where we then say, okay, for this run, I want 20% of this source, 10% of this source.
I want this much, so many epochs of repetition.
Showing 241–260 of 1,158 · page 13 of 58
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