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gilles_oponono

HN member
Joined
Mon, May 20, 2024, 9:02 AM UTC
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Public activity
19 items

About gilles_oponono

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Recent public activity

  1. comment
    Comment #47797675

    Different positionning - headroom compress inputs and open source project - caveman is output and open source - edgee more corporate offer

  2. comment
    Comment #47797653

    100% agree

  3. comment
    Comment #47773840

    Hey Mikza, great initiative indeed. I think Edgee.ai cover your cost control issue + they offer token compression. Have a look, it might solve your problem. LMK :-)

  4. comment
    Comment #47706782

    what part do you compress more specifically ?

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  6. comment
    Comment #47533808

    It rings a bell to me. tks for the explaining the dynamic.

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  8. comment
    Comment #47344170

    what LLM router and token compression tech are you using ?

  9. comment
    Comment #47344145

    thanks for the inside. very interesting.

  10. comment
    Comment #47344045

    WOW...very interesting approach. Indeed limiting output T is the real challenge especially when you deploy.

  11. comment
    Comment #47343952

    I love the idea. @Edgee.ai we are tracking cost in real time by tag, LLM, ...but not yet on forecast, and indeed it will be very useful. Something to explore; thanks for the feedba…

  12. comment
    Comment #47242459

    Hey, I love and share your approach. THere is some solution on the market, starting by edgee.ai (I'm biaised of course on this one).

  13. comment
    Comment #47242444

    sounds brilliant. What is the impact on the token consumption ?

  14. comment
    Comment #47153757

    what is your url ? when I try oxlo.ai I have a "This site can’t be reached"

  15. comment
    Comment #47153670

    AI cost is a real problem, and month end bill shock can genuinely be traumatic. :-(( we want to believe we tackling it head-on at Edgee.ai I won't claim we're the only ones, or eve…

  16. comment
    Comment #47060596

    State management across distributed tool chains remains unsolved. Token compression and automatic LLM selection are emerging solutions.

  17. comment
    Comment #44384641

    so relevant and efficient strategic evolution.

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  19. comment
    Comment #40717114

    As employment has fallen, pay growth has lagged that of total U.S. workers. Between January 2018 and January 2024, the median base pay for developers grew by 24 percent while pay g…