Viewing profile — canyon289

Disclaimer, I work on Gemma and open models at Deepmind and the opinions here are my own There were open models from EleutherAI (GPT-Neo), Google Brain (T5X, Bert), and HuggingFace…

Join the waitlist! It's in the blogpost

Totally fair and thank you for nit picking! I edited my comment. AI2 is doing amazing stuff, I read their papers and code all the time and appreciate how open they are.

I'm a researcher at Deepmind that contributed to these models. (And the opinions here are my own) Just want to say, Deepmind is a great place to work and the only (Edit: one the fe…

This is a nice writeup!

This is going to sound like a corp answer but I mean this genuinely as an individual engineer. Google is a leader in its field and that means we get to chart our own path and do wh…

I dont have the metrics off hand, but I'd say try it and see if you're impressed! What matters at the end of the day is if its useful for your use cases and only you'll be able to …

On this one I dont know :) I'll ask my friends on the evaluation side of things how they do this

Its hard to say because Pixel comes prepacked with a lot of models, not just ones that that are text output models. With the caveat that I'm not on the pixel team and I'm not build…

We are always figuring out what parameter size makes sense. The decision is always a mix between how good we can make the models from a technical aspect, with how good they need to…

You could try Gemma4 :D

Hi all! I work on the Gemma team, one of many as this one was a bigger effort given it was a mainline release. Happy to answer whatever questions I can

I work on Gemma and Gemini models I want to echo Daniel's point here. Small finetuned models have their place even with larger general purpose models. For example last year with Da…

I'm with you! Small generative models are awesome, I thought so a decade ago and I still think so now! The size of what is "small" has definitely increased though, I used to think …

Good insight here, we actually did not include thinking into this model partly because we saw how incredibly fast it was to just get the minimum amount of tokens to output an answe…

Its definitely a step in that direction. I use Gemma models on my local macbook all the time and am personally excited to have this one available for me at home now as well

It depends on a couple of things. If you expect reasoning or frontier level chat abilities then larger Gemma models or Gemini is better. Another hard constraint is context limit, G…

I've only just skimmed this blog post but if I'm reading correctly FunctionGemma can work just like what's intended here, a "contextless" tool router. Going one level up you as a d…

I want to say so much right now but I can't :) The most generic thing I can say is I really do like working at Google because its one of the few (maybe only) company that has model…

:popcorn gif:

Hi, I'm not on the t5 Gemma team but work on gemma in general. Encoder Decoder comes from the original transformers implementation way back in 2017. If you look at figure 1 you'll …

I'm not specifically promising anything but I do want to say 2026 is going to be a great year! Many of my colleagues are shipping models too, such as t5gemma which is on the front …

> Do you recommend any particular mix or focus in the dataset for finetuning this model, without losing too much generality? Astute questions, there's sort of two ways to think abo…

We evaluate many things that you alluded to, such as speed on device, output correctness, and also "is this something that would be useful" the last one being a bit abstract. The w…

> How good is the model at composing actions? I think you mean taking the results of one function call and putting it into another? We saw some promise but didn't heavily train for…