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110

HN member
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Tue, Aug 09, 2016, 2:09 PM UTC
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346
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45 items

About 110

https://twitter.com/debanjum

Recent public activity

  1. story
  2. comment
    Comment #42449076

    Potential solutions: 1. AI video watermarks that carry over even if a video of the AI video is taken 2. Cameras that can see AI video watermarks and put an AI video watermark on th…

  3. comment
    Comment #41684826

    Umm, customary, tongue-in-cheek reference to McCarthy's proposal for a 10 person research team to solve AI in 2 months (over the Summers)[1]. This was ~70 years ago :) Not saying w…

  4. comment
    Comment #37014236

    Yes, this seems to be a common concern. We're trying to see how best to crisply address it. But yes, Khoj can be used even with your internet turned off

  5. comment
    Comment #37014165

    We're still trying to figure out the right balance between configurability and ease of use/maintenance. The 7B version was a decent enough starting point in terms of what it can an…

  6. comment
    Comment #36958033

    Yes, of course

  7. comment
    Comment #36958023

    It should work but not sure how fast. Best way to find out would be to try it. We also have some fixes and perf improvements we plan to release later today in version 0.10.1

  8. comment
    Comment #36957915

    Thanks for the feedback. Does your machine have a GPU? 32GB CPU RAM should be enough but GPU speeds up response time. We have fixes for the seg fault[1] and improvement to the quer…

  9. comment
    Comment #36950262

    Khoj provides exactly that; it runs on your machine, none of your data leaves your machine and it has a web interface to chat

  10. comment
    Comment #36950213

    Firstly, my previous statement needs quite a lot of clarification: Khoj works more like an incremental, natural language version of org-agenda-search (or projectile) rather than is…

  11. comment
    Comment #36950009

    Khoj exposes a local API. Hopefully that makes it easy to integrate with Raycast, Alfred (or even Spotlight)?

  12. comment
    Comment #36949995

    Yeah, this would be ideal for Mac users. Just need to look into what is required and how much work it is

  13. comment
    Comment #36949975

    Thanks for the feedback! Someone else mentioned this issue the other day as well. I'll fix this issue on the landing page soon

  14. comment
    Comment #36949934

    To use Chat with non-english sources you'll need to enable OpenAI. Offline chat with Llama 2 can't do that yet. And Search can be configured to work with 50+ languages. You'll just…

  15. comment
    Comment #36949899

    Thanks! :)

  16. comment
    Comment #36949893

    Buggy for setup? We've done some improvements and have desktop apps (in beta) too now to simplify this. Feel free to report any issues on the khoj github. I can have a look. Yes, w…

  17. comment
    Comment #36949800

    Khoj chat with Llama2 will not work with non-english languages though. You'll have to enable OpenAI for that

  18. comment
    Comment #36949793

    Search should work with Slavic languages including Russian and 50+ other languages. You'll just need to configure the asymmetric search model khoj uses to paraphrase-multilingual-M…

  19. comment
    Comment #36939300

    You do not need to break the bank to use Khoj for local chat, 16Gb RAM should be good enough

  20. comment
    Comment #36939209

    Oh yeah, I used to use Google Desktop too. It was awesome for it's time

  21. comment
    Comment #36938180

    Khoj uses Llama 2 7B, 4bit quantized. So it just needs 3.5Gb of RAM (GPU or System) [1]. Khoj and your other apps need more RAM themselves, so practically 8GB of System or GPU RAM …

  22. comment
    Comment #36938026

    That would be pretty awesome. Building a daily web history summarizer as a browser extension shouldn't be too much work. I bet there's something like that already out there. Having…

  23. comment
    Comment #36937958

    Oh neat, thanks for sharing that! Having a 32K offline model is pretty promising. Let me test out how it performs

  24. comment
    Comment #36936617

    Ah, you're right, forgot to mention that. We use the Llama 2 7B 4 bit quantized model. The machine requirements are: Ideal: 16Gb (GPU) RAM Less Ideal: 8GB RAM and CPU

  25. comment
    Comment #36936476

    1. I hear you on going back to lightweight native apps. Unfortunately the Python ecosystem is not great for this. We use pyinstaller to create the native desktop app but it's a pai…