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ML for Beginners GitHub

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Re: ML for Beginners GitHub

#4

Post by whartung »

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.

Re: ML for Beginners GitHub

#5

Post by whartung »

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 don’t know, it’s not my field, but the applicability of an LLM in a lot of current AI fields such as motion control, vision, planning, etc. That is classic AI stuff, I don’t think LLMs are appropriate yet.

Too big, too slow, too much resources etc. And it’s not even clear to me (mind, who is ignorant) that the LLM is some generic model suitable for all AI like tasks.

Making a big splash right now to be sure, but seems to me there’s still room for the core concepts folks have been working on for a long time.

Re: ML for Beginners GitHub

#6

Post by tayo42 »

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 just have a hobbyist curiosity in the area, I think learning ml basics removed alot of the magic of ai hype, I at least like to think I'm less susceptible to hype and bs. I feel like I have a good idea what is going on and what the limits are of models and how to use them. There is a bigger world of ai besides llm

Depends on your goals though, using llm just seems like using any other api to me.

Re: ML for Beginners GitHub

#7

Post by orochimaaru »

whartung wrote: post #5
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 don’t know, it’s not my field, but the applicability of an LLM in a lot of current AI fields such as motion control, vision, planning, etc. That is classic AI stuff, I don’t think LLMs are appropriate yet. Too big, too slow, too much resources etc. And it’s not even clear to me (mind, who is ignorant) that the LLM is some generic model suitable for all AI like tasks. Making a big splash right now to be sure, but se…

Yes. You need traditional ML to detect, predict, cluster, etc. Then you can layer on LLMs for reasoning on this (provided you have existing documented reasoning on such predictions).

Edit: At least that’s what I’m doing. I could be wrong though.

Re: ML for Beginners GitHub

#8

Post by bmitc »

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?

My personal approach, as someone not in the field but who has tangential interest (perhaps intellectual and not industrial interest) in it, my approach is to start from scratch, implementing the basic ideas in my favorite languages with no supporting libraries. I personally like this approach, but I doubt it gets anyone a job. So it just depends on your goals.
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