Nikhila Ravi
speaker
227 appearances
1 recordings
1 series
first heard Dec 2025
last heard 18 Dec
Nikhila Ravi’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
Yeah.
Everyone should try it out and see for that.
Maybe I could quickly talk about, yeah, in Sam One we did have a proof of concept of text prompting, but that was just a very early exploration.
It wasn't really built out and you know, became the most highly requested feature since then.
Um and so we, you know, in Sam three, we really wanted to do it properly and actually do this in a way that it works.
in all different um scenarios.
And so we had to really think about how to formulate the problem.
So we it could have been that we took open-ended text input and it works for all open-ended text, or we could have be more focused, which is what we chose to do, and really focus on these atomic visual concepts like yellow school bus or
a purple umbrella and really focus on nailing the problem for these like atomic visual concepts.
But Penguan, maybe you want to talk a little bit about kind of the benchmarks that existed previously and how we had to actually fully redefine the task and the benchmark that we wanted to solve.
Yeah, and maybe just to add to add to Penktron's point, like if you look at the size of these benchmarks, the previous benchmark, Penktron mentioned Elvis, that everyone uses, it has about one point two K unique concepts.
And the benchmark that we created, which we're calling segment anything with concepts or Seiko Coco for short.
Seiko has more than two hundred thousand unique concepts.
if you think about the w we're natural language that people use, we don't just use a thousand words.
We use we have a very large vocabulary and we really wanted to build a benchmark that can capture that diversity in size.
Yeah, in some ways, I think the in SAM three
Data engine really was like a very novel and and critical component.
I think, you know, to your point, petitive advantage in AIs is not just about um the models, but really about the data.
And maybe even more so is actually the data engine to generate that data.
And we put a lot of effort in SAM3 specifically to try and automate that process a lot.
Showing 61–80 of 227 · page 4 of 12
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