Do you guys really understand all of your tools down to the technical level? People can make good use of AI/LLM without the need of understanding NN, weights and biases. The same way as I make good use of a microwave or a rangefinder without understanding the deep levels of electromagnetic waves and so on. Fun meme tho.
This is like claiming to be working as an electrician and not knowing how electricity works.
Someone who uses AI to code or make images isn’t doing machine learning anymore than a pilot is doing aerospace engineering. And someone claiming to be an aerospace engineer can’t say that they don’t understand fluid dynamics.
If someone is claiming to be in the machine learning field, not recognizing a fundamental technique of machine learning is a dead giveaway that they’re lying. This kind of diagram is used in introductory courses for machine learning, anyone with any competence in the field would know what it was.
Sure but if you make your living with microwaves somehow you should know what a magnetron is/be able to recognize one. You don’t have to know exactly how it works but like… This is fundamental stuff.
This is an extremely basic intro level ML topic. If you cannot even identify a fully connected network (or “MLP”) then you don’t know anything about the subject. You don’t need to know how to hand compute a back prop iteration to know what this is.
Being the devil’s advocate here.
Do you guys really understand all of your tools down to the technical level? People can make good use of AI/LLM without the need of understanding NN, weights and biases. The same way as I make good use of a microwave or a rangefinder without understanding the deep levels of electromagnetic waves and so on. Fun meme tho.
This is like claiming to be working as an electrician and not knowing how electricity works.
Someone who uses AI to code or make images isn’t doing machine learning anymore than a pilot is doing aerospace engineering. And someone claiming to be an aerospace engineer can’t say that they don’t understand fluid dynamics.
If someone is claiming to be in the machine learning field, not recognizing a fundamental technique of machine learning is a dead giveaway that they’re lying. This kind of diagram is used in introductory courses for machine learning, anyone with any competence in the field would know what it was.
Sure but if you make your living with microwaves somehow you should know what a magnetron is/be able to recognize one. You don’t have to know exactly how it works but like… This is fundamental stuff.
This is an extremely basic intro level ML topic. If you cannot even identify a fully connected network (or “MLP”) then you don’t know anything about the subject. You don’t need to know how to hand compute a back prop iteration to know what this is.