Live data from Hacker News

Viewing profile — furiousteabag

furiousteabag

HN member
Joined
Sun, Nov 07, 2021, 3:07 PM UTC
HN karma
160
Public activity
30 items

About furiousteabag

asmirnov.xyz

Recent public activity

  1. comment
    Comment #45339739

    same, did you figure it out?

  2. comment
    Comment #42309875

    Another thing we are trying to understand is whether the 2D element adds value to the simulation. A simpler option would be a pure text/chat interface. Still, the hypothesis here i…

  3. comment
    Comment #41562168

    Hey hey! We tried Clay v1 with 768 embeddings size using your tutorials. We then split NAIP SF to chips and indexed them. Afterwards, we performed image-to-image similarity search …

  4. comment
    Comment #41557376

    Curious to see what other things you will simulate in the future! Shameless plug: recently we've built a demo that allows you to search for objects in San Francisco using natural l…

  5. comment
    Comment #41532303

    Thanks for sharing Brooklyn text demo. Haven't seen it! Captioning images using VLM would definitely help as an additional conditional feature. Maybe it even would be enough to use…

  6. story
    Show HN: Search San Francisco using natural language

    Hey HN! We're Alex and Szymon from Bluesight ( https://bluesight.ai/ ), where we're developing a foundation model for satellite data. We've created a demo to showcase the current c…

  7. story
    Show HN: Search San Francisco satellite imagery using natural language

    Hey HN! We're Alex and Szymon from Bluesight ( https://bluesight.ai/ ), where we're developing a foundation model for satellite data. We've created a demo to showcase the current c…

  8. story
  9. story
  10. story
  11. story
  12. comment
    Comment #39227910

    I really like using pandoc as a build system [1] for my personal website to convert .md to .html. I can use templates, automatically generate a table of content and run some lua sc…

  13. comment
    Comment #38778454

    You are correct, training sorely in fp16/bf16 can lead to imprecise weight updates or even gradients turning to zero. Because of that, mixed precision is used. In mixed precision t…

  14. comment
    Comment #38778367

    Mixed precision is a default method to pretrain and full fine tune right now. It is especially good in transformers, because they have memory bottleneck in activations (outputs of …

  15. comment
    Comment #38778020

    There is no option to select quantized version yet. Will work on that!

  16. comment
    Comment #38777978

    By default, SGD w momentum is enabled as optimizer. You may try selecting Adam and it will list second moments as well.

  17. story
  18. story
  19. story
    Ask HN: Clarify VRAM usage during LLM forward pass

    Hey HN, I'm working with Llama 2 and have hit a snag regarding VRAM usage during the forward pass in inference. Despite understanding that only the largest activation tensor is sto…

  20. comment
    Comment #38442930

    It doesn't really matter if the app claims to use E2E when it actually discloses message content [0] [1]. WhatsApp is also filled with backdoors [2]. [0] https://therecord.media/fb…

  21. comment
    Comment #38442851

    This may sound stupid, but from my perspective renting random VMs on vast.ai is safe in general and might be safer than using traditional cloud providers in particular. Consider th…

  22. comment
    Comment #38442780

    In IM, there's a balance between total privacy and widespread use. Apps like Signal offer high privacy but have fewer users, while popular ones like WhatsApp are less secure. Teleg…

  23. comment
    Comment #38442357

    It's true that fine-tuning models on personal messages could be simplified, but many, like myself, can't use third-party services due to sensitive data in our messages. I'm curious…

  24. comment
    Comment #38442286

    I agree that usually 'more is more' for training LLMs. However, for fine-tuning with limited data, it seems crucial to focus the task as much as possible. Since the model still enc…

  25. comment
    Comment #38442126

    First I download the weights of the base pre-trained model to the VM instance. Then I upload my data there. Afterward, I fine-tune either LoRA or full and when training finishes, f…