I was curious and compared STT on my bench
https://docs.mumbli.app/benchmarks
It'll be interesting to see it on my coding evals as well. Can't do it yet but will try later.
Interfaze: A new model architecture built for high accuracy at scale
41–47 of 47 posts
Re: Interfaze: A new model architecture built for high accuracy at scale
#42Amazing! I just tried the OCR capabilities with a photo of a DIN A4 page which was written with a typewriter. The image isn't the easiest to interpret. The text perspective is distorted because the page is part of a book and the page margin toward the spine of the book is very small. There are also many inline corrections due to typing errors while the page was written (backspace couldn't erase characters back then,…
New account created ~5 hours after this post, with a single comment specifically praising the model / product. I want to believe, but this sort of astroturfing isn't very encouraging.
I totally understand, and I can't blame you for that. I wouldn't think otherwise. I am a long-time follower of YC but never posted any comments. I wanted to share that experience which is the reason I created the account. I don't know how I can proof to you that I am a legitimate person who has _no_ affiliation whatsoever with Interfaze. I can only ask to try it out for yourself. I was genuinely impressed by the results.
Re: Interfaze: A new model architecture built for high accuracy at scale
#43Amazing! I just tried the OCR capabilities with a photo of a DIN A4 page which was written with a typewriter. The image isn't the easiest to interpret. The text perspective is distorted because the page is part of a book and the page margin toward the spine of the book is very small. There are also many inline corrections due to typing errors while the page was written (backspace couldn't erase characters back then,…
Have you tried this task using an actual OCR model like Google Cloud Vision AI? I am not sure if this is what Gemini uses under the hood but multi-modal LLMs are not designed to extract text like this so it should be no surprise it's not good at it?
I don't think I've tried Google Cloud Vision on that particular image, no. In my experience, based on some tests from a year ago or so, Azure Document Intelligence impressed me the most in terms of OCR - out of the big three players: GCP, AWS and Azure.
I should retry the experiment because there has been a lot of progress since then and I could imagine that GCP improved there vision models since then.
Re: Interfaze: A new model architecture built for high accuracy at scale
#44Gave it a try for structured data extraction. Tested returning a JSON object from images. The output was correct, and seemed deterministic, although I ran it only 2-3 times on the same image. Main problem is response time: it took about 20-25 seconds for a simple structure of 5 fields. As such unusable at scale, let alone "real time" processing. Other problem is cost, it is considerably more expensive than more estab…
Thanks for the feedback!
We're working a lot more on speed in the coming few weeks :) More GPUs and more optimizations.
Our has been focus on quality of output first and we'll make optimizations as we grow :)
The lite models are great for simple use cases but won't don well in more complex OCR use cases.
Re: Interfaze: A new model architecture built for high accuracy at scale
#45I was curious and compared STT on my bench https://docs.mumbli.app/benchmarks It'll be interesting to see it on my coding evals as well. Can't do it yet but will try later.
Try it using run task mode when comparing to pure STT models: https://interfaze.ai/docs/audio/speech-to-text#long-audio-tr...
Excited to see the results
Re: Interfaze: A new model architecture built for high accuracy at scale
#46Earlier quoted context omitted.
Here’s the academic paper behind it: https://arxiv.org/abs/2602.04101
Thanks. Well this is fascinating. >Instead of a single transformer, we combine (i) a stack of heterogeneous DNNs paired with small language models as perception modules It seems that we're reinventing the brain's organs one by one from first principles. (Though Transformer + Common Crawl unintentionally builds a whole bunch of them we don't even understand yet.) I found some broader context and the whole thing is ind…
Yup does really depend on the use case.
We see two types: workflows & agents.
Workflows are the most common, there's a pipeline like processing loan documents before data gets loaded to the next step or translating user comments before being stored in the database.
Agents are where you have a chat based system or a brain of sorts that calls many tools to achieve a user goal. The model doing this is a lot better at non deterministic task which then delegates to Interfaze for specific deterministic actions like OCR, Web extract then consumes that data. That's the article you referenced :)
Re: Interfaze: A new model architecture built for high accuracy at scale
#47I was curious and compared STT on my bench https://docs.mumbli.app/benchmarks It'll be interesting to see it on my coding evals as well. Can't do it yet but will try later.
Try it using run task mode when comparing to pure STT models: https://interfaze.ai/docs/audio/speech-to-text#long-audio-tr... Excited to see the results
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