How so? A Large Language Model is usually a transformer based approach nowadays, right (correct me if outdated)?
AI is artificial intelligence, which has been used and abused for many different things, none of which are intelligent right now (among others used for machine learning).
Machine learning is based on linear algebra like linear regression or other methods depending what you want to do.
An algorithm is by definition anything that follows a recipe so to say.
All of these things, bare transformers and newer in development approaches like spiked neural networks or liquid neural networks are fairly basic, no?
How so? A Large Language Model is usually a transformer based approach nowadays, right (correct me if outdated)?
AI is artificial intelligence, which has been used and abused for many different things, none of which are intelligent right now (among others used for machine learning).
Machine learning is based on linear algebra like linear regression or other methods depending what you want to do.
An algorithm is by definition anything that follows a recipe so to say.
All of these things, bare transformers and newer in development approaches like spiked neural networks or liquid neural networks are fairly basic, no?
EDIT: typos