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Viewing profile — khurdula

khurdula

HN member
Joined
Tue, Aug 20, 2024, 3:31 AM UTC
HN karma
28
Public activity
24 items

About khurdula

Building interfaze.ai

Recent public activity

  1. story
    Show HN: The First Open Source Diffusion ASR Audio Model 15x Faster Than Whisper

    We trained diffusion-gemma-asr, an open-source speech recognition model that is 15x faster than Whisper, based on DiffusionGemma and Whisper Small. Instead of generating text one t…

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  3. comment
    Comment #48029646

    We've open-sourced all code, and test sets. You can find them here: https://interfaze.ai/blog/introducing-structured-output-benc... To validate the choices and configurations, feel…

  4. comment
    Comment #47981714

    We've added opus 4.6 and 4.7 to our leaderboard, they perform very closely with sonnet 4.6. Feel free to checkout our updated blog again :D

  5. comment
    Comment #47981705

    hey! we've evaluated gpt 5.5 as well along with other frontier models. gemini and gemma models outperform it across all three modalities. Open source models like glm 4.7 still comp…

  6. comment
    Comment #47981687

    We've updated our leaderboard having evaluated frontier models gemini 3.1 pro, opus 4.6 & 4.7, glm 5.1, deepseek v4, Kimi K2.6 as well.

  7. comment
    Comment #47964522

    We're updating our leaderboard with these model scores, should be out soon :D

  8. comment
    Comment #47964410

    We do love Qwen! It can be an easy choice when confused looking at this leaderboard.

  9. comment
    Comment #47953957

    Yep, we will be adding it soon as well.

  10. comment
    Comment #47952735

    Due to high demand, we're adding it soon!

  11. comment
    Comment #47952725

    General hallucinations benchmarks tend to be knowledge specific like GPQA or MMLU but none specifically measure structured output end-to-end which is one of the biggest use case fo…

  12. comment
    Comment #47952568

    We saw that structured decoding didn't make a difference in the quality of the output. Check out the paper section "6.3 Structured Decoding Ablation" Paper: https://arxiv.org/pdf/2…

  13. comment
    Comment #47952216

    Check out the "The JSON-pass vs Value-Accuracy gap" section in the blog. That was an eye opener. While most models were great at producing JSON schema, they were pretty bad at prod…

  14. comment
    Comment #47952165

    Yeah we selected models that are most commonly integrated in developer workflows and being used for structured output. Typically those models tend to be in the low -mid cost range …

  15. story
    Show HN: A new benchmark for testing LLMs for deterministic outputs

    When building workflows that rely on LLMs, we commonly use structured output for programmatic use cases like converting an invoice into rows or meeting transcripts into tickets or …

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  17. comment
    Comment #47693787

    "we hope to open-source future versions of the model." Love to see it. Cheers!

  18. comment
    Comment #47619498

    We define determinism as a model behaving predictably, while also producing useful supporting metadata, like confidence scores from specialized DNNs/CNNs, not just text tokens gene…

  19. story
    Show HN: A new model architecture because transformers are not enough

    Most AI products are built around the same idea. Take a giant model. Add a prompt and hope it does the whole job. The AI equivalent of spray-n-pray. That works great for chatbots f…

  20. comment
    Comment #45599591

    Bruh, if it were priced at like $2,499 it would make sense, but this is just too much.

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  22. comment
    Comment #44102704

    Damn, just visiting this site makes me want to reinstall Minecraft haha.

  23. comment
    Comment #43438000

    What if I said, we outperform them? Check this out: https://jigsawstack.com/blog/openai-audio-stt-vs-jigsawstack...

  24. comment
    Comment #41723188

    Are we supposed to use AMD GPUs for this to work? Or Does it work on any GPU?