Pavan Kumar Reddy: belief

Transcript context

…So there’s a lot to cover. I always I love any, anything to do with novel encodings and all those things because I think that’s obviously I creates a lot of efficiency, but also maybe bugs that sometimes happen. You were previously a Gemini and you worked on post training for language models, and maybe a lot of people will have less experience with audio models just in general compared to pure language. What did you find that you have to revisit from scratch as you joined this trial and started doing this? At least when it comes to, for, I think the, there are two buckets, I guess the audio understanding and audio [00:03:00] generation. The audio understanding, like the walkthrough models that Kim was mentioning that we released earlier. The walkthrough chat that we released I think July last year, and the follow up transcription only, models family that we released in January, that would be one bucket, and the generation is another bucket. I think. You can also treat them as a unified set of models, but currently the approaches are a little different between these two. To your question on how audio is fed to the model? In the understanding model, it’s very similar to actually Pixar models that we also released, yes.…

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