yoeven

7 ms·

1.
DefaultModel: Hosting only one model, the best open source model(defaultmodel.ai)
2 points by yoeven 14d ago|2 comments
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by yoeven 14d ago
DefaultModel is a new inference service that hosts one model: the single best open source model, picked by the community. Open source models are catching up to their closed source counterparts, but inference for them is scattered across gen
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by yoeven 1mo ago
thanks! 1. yeah, we've optimized significantly for latency, give the API a try and you'll see it's pretty fast. 2. more than you think, we use a wide range of providers internally depending on the context needed. Exa could be
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Show HN: OpenWebSearch – A router for web search indexes(openwebsearch.ai)
3 points by yoeven 1mo ago|3 comments
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Show HN: A one-click install company brain Chrome extension built ontop of Box(chromewebstore.google.com)
2 points by yoeven 2mo ago|0 comments
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by yoeven 2mo ago
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, get's you the metadata and output you want.
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by yoeven 4mo ago
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 be
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by yoeven 4mo ago
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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by yoeven 4mo ago
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 g
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by yoeven 4mo ago
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://interfaze.ai/docs It's free to gets starte
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by yoeven 4mo ago
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 since the text acts as the anchor. However, when you tr
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by yoeven 4mo ago
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 of Interfaze but wasn't specifically trained for that u
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by yoeven 4mo ago
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 abilities. It still has a transformer backbone giving
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by yoeven 4mo ago
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 can run multi turn tasks like extract all the text and object
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by yoeven 4mo ago
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#long-audio-tr...
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by yoeven 4mo ago
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 will be handled by the CNN, converted to shared tokens which t
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by yoeven 4mo ago
It's a service API but we do have on prem deployment in certain regions for enterprises
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by yoeven 4mo ago
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 vision was pretty far behind other specalized models like Pad
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by yoeven 4mo ago
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 OCR and how to activate the right parts. A lot more improvemen
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by yoeven 4mo ago
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 enough people who has something super niche
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by yoeven 4mo ago
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/manipulat
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by yoeven 4mo ago
We have a full benchmark breakdown specifically on structured output that you can take a look at https://interfaze.ai/leaderboards/structured-output-benchmar...
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Interfaze: A new model architecture built for high accuracy at scale(interfaze.ai)
164 points by yoeven 4mo ago|43 comments
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CNNs + VLM outperforms pure VLMs on OCR(interfaze.ai)
3 points by yoeven 5mo ago|0 comments
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by yoeven 7mo ago
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 specialized small models that automate complex
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Show HN: I built an open source LLM integration for PostgreSQL(github.com)
1 points by yoeven 11mo ago|0 comments
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Show HN: We trained an MoE LLM built for developer tasks(interfaze.ai)
5 points by yoeven 11mo ago|0 comments
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by yoeven 1y ago
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 includes bounding boxes and ot
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Show HN: Interfaze – The LLM Built for Developers(interfaze.ai)
3 points by yoeven 1y ago|1 comments
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by yoeven 1y ago
Awesome stuff! This really helps

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