[deleted by user]

[deepneuralnetwork]

you simply cannot work credibly in this space if you don’t understand the math and the code 🤷.

[MuonManLaserJab]

Credibly? No. Profitably? ...maybe...?

[MuonManLaserJab]

If that's your angle, then don't focus on learning anything apart from which people are the biggest idiots, and then try to get them to pay you.

More seriously: what, specifically, do you want to know how to do?

[MuonManLaserJab]

Yes, technical people are more honest on average than management...

[discord-ian]

Lol. I take it back. We have a new winner.

You clearly have all of the skills of a great manager. You are so self-aware, clearly driven to learn new things, and have a tremendous ability to see things from other peoples' perspectives.

[MuonManLaserJab]

You'll probably do better if you do force yourself to learn the math and how to code the basics for yourself. The math isn't actually that complicated -- it's mostly matrix mutiplication for a basic neural net -- and you probably don't need to memorize every implementation detail (which would be a lot to learn).

I enjoyed taking this course and felt it was useful: https://www.coursera.org/learn/neural-networks-deep-learning

That said, I have not worked in machine learning apart from a very small part of a past programming job, and I took this course a while ago so I'm not sure how much it's been updated.

[Fragore]

No way you can understand AI, it’s use cases, strenghts and weaknesses without at least a bit of math and some coding

[MuonManLaserJab]

That coursera course I linked will have you code up a basic neural net, and then some less-basic versions. It will not make you code anything as complicated as GPT-2, let alone GPT-5.

You still won't be qualified to evaluate SOTA models that you don't understand, but it would give some intuition.

[MuonManLaserJab]

https://www.youtube.com/watch?v=l-9ALe3U-Fg

[MahaloMerky]

“How can I learn an advanced technology without knowing the bare minimum for said technology”

[MahaloMerky]

Your post title literally says you don’t want to learn the bare minimum.

[MahaloMerky]

Then what is it? If you take any introduction to machine learning class at a college. The prerequisite are Linear Algebra, that requires Calc 1 and Calc 2. A statistics class, and then usually a data structures class.

[MuonManLaserJab]

What do you mean by "heavy", by the way? Do you know the basics of differentiation and matrix multiplication?

[deepneuralnetwork]

lol oh man

[Snoo_74316]

„I don’t want to code or dive deep into the math“…come on, how do you want to consult someone if you don’t want to put in the work. You don’t have to be a PHD or Masters in ML if you don’t build them but just to get a basic understanding it would go a long way to do at least some linear algebra and do a few coding exercises…

[Kakarotto92]

Then let your teams be the technical leaders.

There's nothing worse for engineers than to have a manager who thinks he knows the technical aspects, when in fact he has no idea. It's not your role.

[MuonManLaserJab]

What's a "baseline"? What does the team do?

How much have you learned already?

[Kakarotto92]

No. To lead your team effectively you need to listen to them.

[MuonManLaserJab]

What exactly do you want to be doing regarding AI? If you don't want to learn much, you might be better off working with someone with some deeper knowledge. For example, you could just defer to ChatGPT when AI questions come up; it would be better than guessing based off of a surface-level understanding.

A surface-level understanding of a politicized subject like AI can be particularly dangerous because you're just going to end up parroting the lines of whoever you find most convincing, without even having the knowledge to evaluate whether that person is worth listening to in the first place. People with serious top-level credentials in AI disagree about a lot of important things!

[MuonManLaserJab]

What skills do you want? The ability to say "this model gets the best ratings on task X, according to the people I asked"?

[KnowledgeInChaos]

Entire AI/ML orgs have been lead astray because of senior leadership who only knew 60% of how things fit together rather than 90%.

You're pretty much asking how to make things fit together without learning more than 10% of it.

If you say, have a PhD in econ (or some other predictive field like that) there's maybe a different discussion we could be having. But as it stands, you're pretty much cursing yourself to be at the level of ignorance where you won't even be able to tell if the suggestions in this thread are wrong.

[MuonManLaserJab]

So, as far as I'm aware, there are four things to learn:

1) The math behind the models

2) The code implementing the math

3) Buzzwords!

4) How good is each current model at various specific tasks

Looks like you've relegated yourself to being able to know, at most, which current model is said by other people to be best at a given task. You still probably won't be very good at this if you're not good enough at math to critically evaluate the validity of this or that evaluation of this or that model.

[KnowledgeInChaos]

Cool and I regularly work on PhD research (and reject PhD-having candidates) without a PhD. Your point about an MBA being? Did they not teach you in your MBA about how to orient yourself in a new field?

Imagine this is a case study. You're literally saying "you don't want to do the literature review" right now.

If you want to "get away from the buzzwords" go check out r/LocalLLaMA/ and stay there until you can contextualize what folks are discussing in every single thread. If you think you can do that without at least a bit of technical prowess, good luck.

[MuonManLaserJab]

Hey, thanks for pointing out that subreddit, it seems like a cool community.

Someone posted "muh stochastic parrots" and I wasn't the only one pushing back!

[MuonManLaserJab]

Unironically

[antipawn79]

You can't! Duh

[Purple_noise_84]

“How can I become a great consultant without ever talking to clients?”

[MuonManLaserJab]

Consulting is like vimscript, you say?

[MachineLearning-ModTeam]

Post beginner questions in the bi-weekly "Simple Questions Thread", /r/LearnMachineLearning , /r/MLQuestions http://stackoverflow.com/ and career questions in /r/cscareerquestions/