Viewing profile — yoeven

Really cool! LLMs tho, it's hard to measure accuracy and attribution in real time like confidence scores and bounding boxes which is great for KYC apps. Try Interfaze for LLM OCR, …

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 load…

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

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…

yeah it would treat it like an OCR task and extract it, you could prompt it to format it better with the code alignment. We serve it though an API. Check out the docs: https://inte…

It can, you could try prompting the model to use object detection vision and text extraction, we realized when we purely extract text it does amazing at word/sentence level bounds …

Not directly, LAMs tend to be focused a lot on tool calling or trained for a set of specific action for example in the robotics field. Good tool calling might be a good by product …

It wasn't designed to do well on MMMLU, it's a general model designed for deterministic task like OCR, object detection, STT and more and a by product of that is great language abi…

For sure there a tons of OCR bounding models and tons of other models like SAM 3 for segmentation. Interfaze is a more powerful version of them combined into a single model, you ca…

Use it run task mode if you're doing a one to one comparison to whisper, it's going to be a lot faster too. Here's a good example: https://interfaze.ai/docs/audio/speech-to-text#lo…

The other way round, task specific DNNs adapted to share the same vector space as omni-transformers with generalized vision, audio encoders. E.g. For an OCR task, the first pass wi…

It's a service API but we do have on prem deployment in certain regions for enterprises

Google Cloud Vision AI is a specialized model built on CNNs frameworks which is part of the Interfaze architecture which is an hybrid so you get best of both worlds. Google cloud v…

Yup run task mode runs a much smaller part of the model when can drop quality of scans. The issue with run task we have to figure out is how much of the model is needed just for OC…

It isn't on our roadmap right now since in most cases it should work out of the box and if it doesn't we'll work with you to train that into the model generally. However, if we see…

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 Claud…

We have a full benchmark breakdown specifically on structured output that you can take a look at https://interfaze.ai/leaderboards/structured-output-benchmar...

JigsawStack | Founding GTM (Go to market) / Growth | San Francisco, London, India, REMOTE (US) | Full Time Company site: https://jigsawstack.com At JigsawStack, we’re building spec…

More often than not we pre-process data using an LLM before inserting them into a column/row on the database, for example translating text and storing the different languages or ru…

Hey! Awesome product, not sure which model you use under the hood but you should check out https://jigsawstack.com/docs/api-reference/ai/vocr . Great for ID extraction which also i…