Interfaze: A new model architecture built for high accuracy at scale
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Re: Interfaze: A new model architecture built for high accuracy at scale
#2[flagged]
Re: Interfaze: A new model architecture built for high accuracy at scale
#3This is cool, Id love to be able to fine tune on this architecture. Is this something on the roadmap ever?
Re: Interfaze: A new model architecture built for high accuracy at scale
#4Smaller models really arent great at structured output. If this works it would be great for a local model that might not be as good but as long as it respects structured output will be vastly more useful.
Re: Interfaze: A new model architecture built for high accuracy at scale
#5> These are deep neural network architectures that are task-specific for things like OCR, translation, or GUI detection. The way they consume and see data is trained to be task specific, which makes them up to 100x more accurate at their specific task. They also produce useful metadata like bounding boxes and confidence scores, letting developers build predictable workflows they can rely on.
Does code extraction and manipulation fit in that? Would interfaze be the agent that a coding agent uses?
Re: Interfaze: A new model architecture built for high accuracy at scale
#6Potentially stupid question: Does that mean we can chain them together line UNIX command line programs ? That would be so, so intuitive.
Re: Interfaze: A new model architecture built for high accuracy at scale
#7Smaller models really arent great at structured output. If this works it would be great for a local model that might not be as good but as long as it respects structured output will be vastly more useful.
> Smaller models really arent great at structured output.
That doesn't seem to hold true. Consider gpt-5.4-nano which supports structured output just fine.
https://developers.openai.com/api/docs/models/gpt-5.4-nano
It seems like a concern that's orthogonal to the model size.
Re: Interfaze: A new model architecture built for high accuracy at scale
#8Smaller models really arent great at structured output. If this works it would be great for a local model that might not be as good but as long as it respects structured output will be vastly more useful.
> Smaller models really arent great at structured output. That doesn't seem to hold true. Consider gpt-5.4-nano which supports structured output just fine. https://developers.openai.com/api/docs/models/gpt-5.4-nano It seems like a concern that's orthogonal to the model size.
I genuinely doubt that they are just lying though lol
Re: Interfaze: A new model architecture built for high accuracy at scale
#9Smaller models really arent great at structured output. If this works it would be great for a local model that might not be as good but as long as it respects structured output will be vastly more useful.
We have a full benchmark breakdown specifically on structured output that you can take a look at https://interfaze.ai/leaderboards/structured-output-benchmar...
Re: Interfaze: A new model architecture built for high accuracy at scale
#10> These are deep neural network architectures that are task-specific for things like OCR, translation, or GUI detection. The way they consume and see data is trained to be task specific, which makes them up to 100x more accurate at their specific task. They also produce useful metadata like bounding boxes and confidence scores, letting developers build predictable workflows they can rely on. Does code extraction and…
Code extraction maybe, not something we have tested or built for but you could give it a try.
Code manipulation probably not since it's a lot smaller of a model compared to a Claude Opus which is SOTA for code generation/manipulation.
Generally code generation is a non-deterministic task by nature and general LLMs tend to be better at them.