Whenever I've tried to learn about LLMs, machine learning, etc. I always come out with a bad feeling, compared to learning about software.
Theoretical courses make me feel like it's all baby steps, unless you assume a level of commitment equivalent to a math degree. Practical/applied stuff seems to require levels of compute, training data, etc. that make it unapproachable for a home hacker for everything beyond basic exercises like a handwritten digit classifier.
Now this feeling of "impracticality" is perfectly fine. It would be the expected outcome if I was taking a course on classic literature or modern art. But machine learning stuff feels like it could have room for learning-by-doing applications that aren't entirely pointless, so I wonder if there's some way to approach the topic I'm simply not finding.
Did anyone have the same experience? any tips if so?
Compared to software coding, you build websites, apps etc. The barrier to entry is much higher.
I am trying to pivot into machine learning myself, so far my understanding is try to find a software engineer role where you deal with data, model infra, data pipeline, etc. Then within the same company, try to do more modeling work and build intuition and resume credentials in this area. Someone correct me if I am wrong.
But this book is almost perfect. Every new concept is well described and every is well founded. And every step moves you forward (if you know, you know)
If you're truly going to build your own model (and commit to the cost of that), then video tutorials will not cut it.
And if you don't really, then I wonder if this is really the best style of conveying the information you'd be interested in?
I mean I might be wrong and maybe this helps emerging players or something like that, but to me it is more likely that this is more of a monetisation strategy of a personal brand. Living off selling to people that think they _should_ but then in the end don't.
It's also not a bad foundation for people who want to understand how these things are trained and work.
Maybe because they don't want to be an "emerging player" or something, they only want to understand how a new technology that is changing the world works and prefer to learn by doing.
If Sebastian is doing it by its personal brand, he really deserves it. I would trust him because I know he is a reference on his area of knowledge and I know he is because he shares his knowledge instead of only making fancy talks.
some people enjoy learning how the tech works
It's a critique of the people and the lack of substance. But not of the author. The author is highly capable.
That makes no sense. It's like saying if you want an engineering degree, going to lectures will not cut it. Of course not, you have to do the homework and projects too.
Something is off here. It indeed makes no sense
The target audience of this is for people that like to _think_ they're doing stuff by paying for it, to then not do anything.
It's a purchase of an identity, basically.
Which.. I guess is fine as something to cover Sebastian's expenses to enable him to keep delivering this free stuff. If you want to take money from someone, taking from this group is likely the most ethical thing to do.
How do you think people learn to build/train models? It comes down from the sky?
What's next? Are you going to give us your opinion of music genres you don't ever listen to? And tell us who should listen to them too, I suppose.
He is covering expenses. Probably barely.
There are genuinely people who enjoy learning how something works by doing smaller scale versions of it themselves. This site happens to have a much higher average percentage of them than most other places.