"Is Prolog Code AI Still Relevant in Today's AI Landscape?"
Hey folks, been wondering—does prolog code AI still hold up with all the fancy neural nets and transformers around? Like, it’s killer for logic puzzles and rule-based stuff, but can it keep up with modern AI demands?
I’ve seen it used in expert systems and NLP, but not much hype lately. Maybe it’s a niche thing now?
What’s your take? Anyone still using prolog code AI in 2024, or is it just legacy tech at this point?
Also, if you *are* using it, how’s the performance? Heard it can be slow with big datasets unless you tweak it just right.
Kinda curious if it’s worth learning or if I should just stick to Python libs. Thoughts?
(Ps—anyone got tips for optimizing prolog code AI? Heard indexing helps but no clue where to start.)
Hey folks, been wondering—does prolog code AI still hold up with all the fancy neural nets and transformers around? Like, it’s killer for logic puzzles and rule-based stuff, but can it keep up with modern AI demands?
I’ve seen it used in expert systems and NLP, but not much hype lately. Maybe it’s a niche thing now?
What’s your take? Anyone still using prolog code AI in 2024, or is it just legacy tech at this point?
Also, if you *are* using it, how’s the performance? Heard it can be slow with big datasets unless you tweak it just right.
Kinda curious if it’s worth learning or if I should just stick to Python libs. Thoughts?
(Ps—anyone got tips for optimizing prolog code AI? Heard indexing helps but no clue where to start.)