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k2so

HN member
Joined
Tue, Jul 25, 2023, 10:08 AM UTC
HN karma
15
Public activity
26 items

About k2so

Data scientist and engineer

nikhil.kasukurthi@gmail.com

Recent public activity

  1. comment
    Comment #49164939

    Location: Göttingen, Germany Remote: Yes Willing to relocate: Yes, within in Germany Technologies: Python, FastAI, vLLM, PTQ, Inference, Model Training, Transformers, Elastic Searc…

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  4. comment
    Comment #48383422

    Location: Göttingen, Germany Remote: Yes (preferred; hybrid also fine) Willing to relocate: No (remote, or hybrid within Germany) Technologies: Python, Go, search & retrieval, rank…

  5. comment
    Comment #47603672

    Location: Göttingen, Germany (work authorization available) Remote: Yes (preferred) Willing to relocate: Yes (anywhere in Germany, open to EU) Technologies: Python, Go, PyTorch, vL…

  6. comment
    Comment #47265283

    Yeah, for a single GPU inference, considering the higher VRAM and FP4 support on the RTX 6000, it should fit larger models as well than the H100.

  7. comment
    Comment #47264731

    Author here. I wanted to train Nanochat d26 to GPT-2 level and had to pick between three H100 variants on Runpod. SXM was the most expensive per hour but cheapest to finish: SXM: 7…

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    Comment #47203783

    Scroll to visualise steps is such a great idea! Great writeup.

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    Comment #46701528

    Interesting work, in the examples I can see that quite a few of them have the teracotta/warm-cream colour palette, was that an explicit choice to keep them in the prompts? From the…

  11. story
    Show HN: KARMA – An evaluation framework for Medical AI systems

    KARMA-OpenMedEvalKit is an expandable toolkit for assessing AI models in medical applications, featuring multiple healthcare-focused datasets with particular emphasis on the Indian…

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    Comment #43565989

    I make an argument for Model context protocol, and how it can shape the entire ecosystem

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    Comment #43306862

    Beyond the developer, the user massively benefits from MCP. Like you said, using any other SDK to build is a very valid approach but then you are tied down to a single client that …

  15. comment
    Comment #43169664

    A neat trick in Vespa (vectors DB among other things) documentation is to use hex representation of vectors after converting them to binary. This trick can be used to reduce your p…

  16. comment
    Comment #42849126

    LLMs = Latency? That's how most of us perceive it. When examining the timing breakdown of a request on Claude, you'll notice that the majority of the time is spent in Content Downl…

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    Comment #42500806

    In one of my earlier jobs a few years back, we were training deep learning models on VMs with GPUs, back then the tooling was not as extensive (vs-code did not have the remote ssh …

  19. comment
    Comment #41669274

    Easier to use libraries over highly complicated (supposedly performant) have a significant advantage in driving more adoption. Recently I was trying to generate text embeddings fro…

  20. comment
    Comment #41589160

    This is awesome, are you contributing this to candle or is it a standalone package?

  21. comment
    Comment #41431717

    I very strongly relate to this, it's been close to 3 months, since I have started working on a blog built on Quarto, and all I have so far is a elaborate design and a half complete…

  22. comment
    Comment #40924468

    This was my first thought too, after reading through their blog. This feels like a no-frills website made by an engineer, who makes things that just work. The documentation is grea…

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    Comment #39284918

    Distill for R Markdown is a great alternative too. I really like the layout and the flexibility you get with the plots. The site can be hosted directly on github pages and you can …

  25. comment
    Comment #38566373

    Tomorrow and Tomorrow and Tomorrow - This was best read of 2023 for me. The narration is very immersive and the author makes you very invested in the story. Shows the messy, compli…