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Viewing profile — pklee

pklee

HN member
Joined
Sat, Nov 03, 2018, 2:01 AM UTC
HN karma
53
Public activity
62 items

About pklee

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Recent public activity

  1. comment
    Comment #43265452

    Very well deserved !! Amazing contributions !!

  2. comment
    Comment #40564548

    https://www.joelonsoftware.com/2001/07/21/good-software-take... - Reference. I read this for the first time. Thank you for sharing this.

  3. comment
    Comment #40555844

    This is pure gold !! Thank you so much eugene and gang for doing this. For those of them which I have encountered, I can 100 % agree with them. This is fantastic !! So many good in…

  4. comment
    Comment #38767842

    Have you considered marker. Does a very good job of turning PDF into markdown. - https://github.com/VikParuchuri/marker

  5. comment
    Comment #35795090

    This is pretty cool. I tried with dolly and then I tried with T5-base, both of it did not give me result. It broke for me. Has anyone tried it ?

  6. comment
    Comment #34542425

    This is fantastic. This is what we do on our platform. + Copy and keep what worked and what did not so you can fine tune :)

  7. comment
    Comment #34406994

    If this is using OpenAI which it seems is what it is using, It is only sending column headers / column names. Not the data. If you are concerned about column names, you could also …

  8. comment
    Comment #34406962

    They are decently good, I could not find major differences for the cases I was trying. The key is to control the temperature. Make sure it is low, otherwise the randomness increase…

  9. comment
    Comment #34403136

    GPT3 model generates a SQL. You can sqldf on top of your data.table. We will be demo'ing at one of the events shortly. BTW, you could do somewhat similar with other LLMs such as GP…

  10. comment
    Comment #33950873

    Very well said !! data is code

  11. comment
    Comment #33950871

    2 chapters in. Very good and makes you think. Truly impressive way of teaching how data is pivotal. The introduction reminds me of Peter Norvig's talk. I also like the point below …

  12. comment
    Comment #30739558

    Reminded me of this - https://www.youtube.com/watch?v=awG09liCMD4

  13. comment
    Comment #30739547

    The concept of a data-mesh is more of a business concept as opposed to tech. IMHO the idea being proposed is that of a conceptual data-server (not to be confused with database serv…

  14. comment
    Comment #30332817

    Radiolab had a similar post sometime back. That was about philippines - https://www.wnycstudios.org/podcasts/radiolab/articles/post-...

  15. comment
    Comment #29664981

    Of course. Assume somewhat of a big services company. There are many customer related problems that can be solved using products. Assuming such a product can be created. What shoul…

  16. story
    Ask HN: What are the dos and donts of startup in large companies?

    What is the best way to structure teams ? Create equity ? Establish as a business unit ?

  17. comment
    Comment #29347248

    That was an awesome video. Thank you for sharing !!

  18. comment
    Comment #28980129

    What do you mean by dynamic scheams ?

  19. comment
    Comment #28503833

    This looks great. Thanks for sharing. I hope at some point this becomes a gate for RMF process.

  20. comment
    Comment #27599047

    I love the phrase "Enthusiasm is not a skill". I think it is great. I am not for or against in terms of your idea. I just wanted to comment on the phrase :)

  21. story
  22. story
    Datascience and GUI – Rekindling an old thread

    I was looking at how people are thinking between GUI and datascience and came across this thread - https://news.ycombinator.com/item?id=16845666. In the past I have read GUI is bas…

  23. comment
    Comment #27460340

    Sorry I had meant this for @curiousperson23. Thanks

  24. comment
    Comment #27456127

    Would love to understand this more. pklee.hackernews@gmail.com

  25. comment
    Comment #27306977

    Yeah I am not just talking about analytics.. even basic merging across data-sources and simple visualizations based on the blended data and the ability to go across environments.