| ▲ | killingtime74 6 hours ago |
| Is a LLM logic in weights derived from machine learning? |
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| ▲ | shlewis 6 hours ago | parent | next [-] |
| Well, yes. That's literally what it is. |
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| ▲ | dmd 6 hours ago | parent [-] | | What what is? The article has nothing to do with LLMs. It even explicitly says they don’t use LLMs. | | |
| ▲ | shlewis 4 hours ago | parent [-] | | > Is a LLM logic in weights derived from machine learning? I was just answering this question. LLM logic in weights is fundamentally from machine learning, so yes. Wasn't really saying anything about the article. |
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| ▲ | quijoteuniv 6 hours ago | parent | prev [-] |
| Good one… but Is a DB query filter AI? I forgot to say though is sounds like a really cool thing to do |
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| ▲ | stingraycharles 6 hours ago | parent [-] | | Strictly speaking, expert systems are AI as well, as in, an expert comes up with a bunch of if/else rules. So yes technically speaking even if they didn’t acquire the weights using ML and hand-coded them, it could still be called AI. | | |
| ▲ | phire 5 hours ago | parent [-] | | It is 100% valid to label an algorithm that plays tic-tac-toe as "AI" Much of the early AI research was spent on developing various algorithms that could play board games. Didn't even need computers, one early AI was MENACE [1], a set of 304 matchboxes which could learn how to play noughts and crosses. [1] https://en.wikipedia.org/wiki/Matchbox_Educable_Noughts_and_... | | |
| ▲ | stingraycharles 5 hours ago | parent [-] | | Yup this is exactly my point, in the 80s there were plenty of “AI” companies and “fuzzy logic” was the buzzword of the day. |
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