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ML for Beginners GitHub

github.com

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Re: ML for Beginners GitHub

#11

Post by imjonse »

ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

It's almost like asking whether it's more valuable to learn about networking, http, html, js, databases or start building apps on top of nextjs.

Re: ML for Beginners GitHub

#12

Post by esafak »

ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

If you need motivation, build an app. If not, study the theory, and implement basic models like linear regression yourself.

Re: ML for Beginners GitHub

#13

Post by faeriechangling »

ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

Unless something I can’t predict changes, using LLMs for EVERYTHING smacks of bloat. They’re just not very efficient at many tasks. I don’t know why in a world where people complain relentlessly about bloat in web development, how it could possibly be right for everybody to just use something as heavyweight as LLMs.

Re: ML for Beginners GitHub

#14

Post by RadiozRadioz »

whartung wrote: post #4

I’ll give it a look when I get off my phone. I’m trying to bootstrap some fundamentals for a personal project. Currently working through some chapters of “AI. A modern approach “ book.

Thanks for letting us know. I plan to read the article when I get home from work.

Re: ML for Beginners GitHub

#15

Post by pjmlp »

ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

I think it is more relevant to learn how the technology that will take over most junior tasks works, before it takes over everything and the only job left is being LLM Architect, like in those offshoring projects, the difference being those offshore folks aren't there any longer.

Re: ML for Beginners GitHub

#16

Post by girvo »

faeriechangling wrote: post #13
ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

Unless something I can’t predict changes, using LLMs for EVERYTHING smacks of bloat. They’re just not very efficient at many tasks. I don’t know why in a world where people complain relentlessly about bloat in web development, how it could possibly be right for everybody to just use something as heavyweight as LLMs.

Because while you and I rightfully complain about web development bloat, normal people who use the products made with those tools don't care, as long as it does what they need the product to do

Re: ML for Beginners GitHub

#19

Post by jononor »

ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

Definitely read up on ML basics if you are going to build anything. And by ML basics I mean the concepts of supervised/unsupervised /reinforcement learning - and in particular model evaluation. It is absolutely critical for any ML-based system to have a structured way to judge how well a system works: whether it works well enough (according to some target), or which of two alternatives is better, and that the nature of the errors are not critical or maybe some of them can be mitigated etc.

Re: ML for Beginners GitHub

#20

Post by raincole »

imjonse wrote: post #11
ssgodderidge wrote: post #3

Genuine question - is it more valuable to spend time ramping up on the ML basics, or to spend time building apps on top of the LLMs of the world?

It's almost like asking whether it's more valuable to learn about networking, http, html, js, databases or start building apps on top of nextjs.

The answer is the latter.
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