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44za12

HN member
Joined
Tue, May 14, 2024, 12:23 PM UTC
HN karma
303
Public activity
55 items

About 44za12

https://aazar.me

Recent public activity

  1. comment
    Comment #49085670

    Others have already pointed out the absurdity, but just to put it across. Why not just ask first agent to update AGENTS.md adding context and next steps, and ask the next agent to …

  2. comment
    Comment #48983821

    +1 came here to say this, I opened the link expecting some technical breakthrough. Misleading click bait title.

  3. comment
    Comment #48751801

    Location: UAE Remote: Preferred Want to relocate: No Philosophy: Brutally Efficient More: https://aazar.me

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  10. comment
    Comment #47737256

    I read it as an article in defence of boring tech with a fancier/clickbaity title. Here’s the more honest one i wrote a while back: https://aazar.me/posts/in-defense-of-boring-tech…

  11. comment
    Comment #47250200

    Specialised models easily beat SOTA, case in point: https://nehmeailabs.com/flashcheck

  12. comment
    Comment #47243376

    All of us use the same keyboards more or less, maybe us randomly typing a large number is not as random as we would like to think. Just like how “asdf”, “xcyb” are common strings b…

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    Show HN: RightSize CLI, Find the cheapest LLM that works for your prompt

    RightSize runs your prompt against candidate models (Kimi, GLM, Qwen, Gemma etc.) in parallel via OpenRouter. Then it uses a stronger model as a Judge to score accuracy against a b…

  15. comment
    Comment #46765335

    Yes, I included a 'Model Selection Cheat Sheet' in the README (scroll down a bit). I map them by task type: Tiny ( Is that what you meant?

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    Show HN: LLM Sanity Checks – A practical guide to not over-engineering AI

    I keep seeing teams use frontier models for tasks a regex or a 4B model could do cheaper and faster. This repo is a collection of opinionated patterns and heuristics to help you re…

  17. comment
    Comment #46762668

    This is the way. I actually mapped out the decision tree for this exact process and more here: https://github.com/NehmeAILabs/llm-sanity-checks

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    Comment #46741820

    For simple extraction tasks, a delimiter-separated string uses 11 tokens vs 35 for JSON. Output tokens are the latency bottleneck.

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    Comment #45092249

    Love the minimalism.

  22. comment
    Comment #45091377

    Shameless plug. I’ve been using a cli tool i had created for over 2 years now, it just works. I had more ideas but never got to incorporate those. https://github.com/44za12/horcrux…

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    Comment #45072582

    Have been using remove.bg for this for years now.

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    Comment #44932116

    Like a sempahore?

  25. comment
    Comment #44902789

    I’ve had great luck with all gemma 3 variants, on certain tasks it the 27B quantized version has worked as well as 2.5 flash. Can’t wait to get my hands dirty with this one.