← All IntelClip / AI ToolsWhere tiny models go next: agent-generated fine-tuning data
From Why Large? Tiny LMs & Agents on Edge/Robotics — Cormac Brick, Google · ≈20:25
Identifies the remaining bottleneck in the tiny-model playbook — building the synthetic dataset — and argues automating it is what would open voice-to-function-calling to everyone.
What’s in it
- Identifies the remaining bottleneck in the tiny-model playbook — building the synthetic dataset — and argues automating it is what would open voice-to-function-calling to everyone.
Clip transcript
like broader ambitions of where tiny models can go. Wow. Um, I think kind of generalizing voice to function calling um is a is a is one key goal like making that very easy for lots of people because I think that's a key use case that if we can figure like if we can figure out how to make, you know, have like an agent generate the synthetic data for you, right? Um, if we like it's certainly possible to make that journey much easier than it is today and make it available to a lot more people. Um, yeah. and and certainly the the visual input as well. Um that takes a little bit of time at the moment. There's certainly scope to have faster models there that can do a wider set of things like kind of segmentation and other things that would enable other use cases.
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