kevin8704

4 ms·

1. 1.▲
   MelloPal – A iOS wellness coach I built in 20 days(apps.apple.com)

   1 points by kevin8704 1y ago|1 comments
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   by kevin8704 1y ago

   Hi, I’m a solo developer, and I recently gave myself a 20-day challenge: learn iOS development from scratch and ship something meaningful. The result is MelloPal — a minimal iOS app that offer gentle reflections and habit nudges based on yo
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   by kevin8704 1y ago

   Awesome! It looks like you’re building a “reasoning tree” approach with runtime-level context engineering and pruning. Quick question — how does the context-pruning mechanism decide which KV states to discard vs. retain? Just trying to unde
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   by kevin8704 1y ago

   Really cool work! I saw the “Selective Working Memory” section, are there hooks to swap in a custom retrieval store or memory layer, or is that all internal to TIM? Thanks for sharing!
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   by kevin8704 2y ago

   We’ve developed an algorithm called L-Mul to tackle AI’s growing energy consumption problem. Large AI models, like those behind ChatGPT, consume enormous amounts of electricity daily. L-Mul reduces energy use by up to 95% by replacing energ
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   L-Mul: A New Algorithm for 95% AI Energy Reduction Without Performance Sacrifice(arxiv.org)

   3 points by kevin8704 2y ago|1 comments