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SphericalCowww
searching PlanetScale…
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Show HN: Cubic Doggo 06R: 12-DOF 4-Legged Robot with IMU
(github.com)
6 points
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SphericalCowww
2mo ago
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0 comments
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Show HN: Cubic Doggo, a Open-Source 12-DOF 4-Legged Robot Based on ROS2
(github.com)
6 points
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SphericalCowww
5mo ago
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1 comments
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SphericalCowww
6mo ago
Just to understand what you mean, you are worried that there are 2 or more LoRAs that have almost identical content but are distinct only in timestamps. Yeah, that could be a problem... Hmm..., perhaps the similarity for recency does need t
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SphericalCowww
6mo ago
This is more of a conceptual idea from an AI hobbyist; hopefully, the big claims for motivation are not too distracting. After doing too many basic-level tutorials, this could be an interesting intermediate-level project to apply modern AI
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Show HN: LunaLora: Multi-LoRA System to Combat Catastrophic Forgetting
(github.com)
1 points
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SphericalCowww
6mo ago
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2 comments
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SphericalCowww
6mo ago
I put my ideas here in case you are interested: https://github.com/SphericalCowww/ML_LunaLoRA
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SphericalCowww
6mo ago
I put all the conceptual ideas here (spiced with far-fetched claims): https://github.com/SphericalCowww/ML_LunaLoRA But I think my hn level is too low, would really like some expert's opinion, though, whelp... Mea
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SphericalCowww
6mo ago
My understanding is that this is what the LoRAs are for; my belief is that they serve as "memory" to their live observations (a more NN-like cache, say), while the main LLM remains unchanged. These LoRAs are also weighted, so that
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SphericalCowww
6mo ago
I mean, since GPT-4, I believe the RAM is no longer creating the miracle that the LLM performance scales directly with the model size. At least ChatGPT itself convinced me that any decent-sized company can create a GPT4 equivalent in terms
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SphericalCowww
6mo ago
Is it me, or are hobby electronic shops much harder to find today, like the one that sells Arduino, basic RCL's, and common IC's? I am not sure if it's just a trend that everything is sold online or if the interest is shiftin