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A bit of hype in the AI wording here. This could be called a chip with hardcoded logic obtained with machine learning
Earlier quoted context omitted.
It's not an LLM, it is a purpose built model. https://arxiv.org/html/2411.19506v1 5 years ago we would've called it a Machine Learning algorithm. 5 years before that, a Big Data algorithm.
We’ve been calling neural nets AI for decades. > 5 years before that, a Big Data algorithm. The DNN part? Absolutely not. I don’t know why people feel the need for such revisionism but AI has been a field encompassing things far more basic than this for longer than most commenters have been alive.
When I was 13, having just started programming, I picked up a book from a "junk bin" at a book store on Artificial Intelligence. It must have been from the mid-80s if not older.
It had an entire chapter on syllogism[1] and how to implement a program to spit them out based on user input. As I recall it basically amounted to some string exteaction assuming user followed a template and string concatenation to generate the result. I distinctly recall not being impressed about such a trivial thing being part of a book on AI.
https://arxiv.org/html/2411.19506v1
Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better
Earlier quoted context omitted.
Is a LLM logic in weights derived from machine learning?
Good one… but Is a DB query filter AI? I forgot to say though is sounds like a really cool thing to do
Isn’t this kind of approach feasible for something so purpose-built?