Jennifer Li

speaker

607 appearances 7 recordings 1 series first heard Dec 2024 last heard 17 Sep

Jennifer Li’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months

Recordings per month over the last 12 months — 4 in all, peaking in Sep 2026 with 2.

Appearances

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The a16z Show · The Race for AI—Search, National Infrastructure, & On-Device AI · 25 Dec 2024 podcast

This trend will be driven by use cases as well as economic, practical and privacy considerations.

That was Jennifer Lee.

I'm a general partner on the infrastructure team.

Here's her big idea.

My big idea is on device and smaller generative AI models will become more popular in the next year.

If you're a frequent user of Uber, Instacart,

lift Airbnb applications.

I'm sure there are many, many machine learning models already running our device.

Very easily when you load up a

Uber screen is 100 models that's coordinating routes and giving you a real-time price.

What I'm more referring to is the generative models that are creating image, voice, video will become more prevalent in the same way to run on device and within your applications, similar to these other traditional machine learning models.

Yeah.

First, never underestimate that compute power or a smartphone is probably as powerful as a computer ten or twenty years ago.

That's thanks to Morris Law.

At the same time, the models are for especially smaller sizes of two billion, eight billion parameter models.

That's enough compute for them to run on device.

And it can generate and create very robust experience already, be it text or image or audio.

And some of these small

Models, if they are diffusion models, they're intrinsically smaller than large text models to be very capable.

And there's another new set of tooling and also technology developed around distillation is if you have a very powerful large model, can be distilled to a smaller parameter-size model and still maintain a lot of capabilities that a large model contains.

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