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Hi folks. Nice to see our new free (and ad-free) course here on HN! This course is for folks that are already comfortable training neural nets and understand the basic ideas of SGD, cross-entropy, embeddings, etc. It will help you both understand these foundations more deeply, since you'll be creating everything from scratch (i.e. from only Python and its standard library), and to understand modern generative modelin…
This looks awesome, however I probably need to do a bootcamp with real people to compete and have comradery with to actually retrain on the basics in this. It doesn't matter where in the world this is (I like to travel), but does anyone have a recommendation for in person bootcamps on AI?
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Maybe odd question, but: would you recommend taking this course if my goal is to build (and sell) products leveraging ML? (e.g. SaaS) As in, with the pace of improvements from other AI startups and general availability of their APIs (e.g. GPT-4), is there a specific advantage (aside from maybe cost) to learning to build my own models? Or is the course more suitable for people wanting to become ML engineers (or simila…
Just my two cents, as someone with 8000 academic citations and one AI SaaS exit, on AI entrepreneurship: The more time you spend on marketing, the better. We found that as our AI got worse, our product got better.
> We found that as our AI got worse, our product got better.
Interesting. Could you elaborate on this too?
Earlier quoted context omitted.
I don't get why your question is getting unvoted. This is a serious question. For engineers and "normal people" as well : why bother learning ?
That's not a serious question, it's the very definition of trolling. You can replace Stable Diffusion with any other subject to learn, and that particular doom scenario with a similar one or, if you don't feel very inclined to ellucubrate, just say the good old "why learn anything when we all are eventually going to die and be forgotten". Not cool.
Assuming that I don't learn is wrong. I have a local installation of SD with a lot of models to test. The only useful thing in this gizmo is the Control Net module or maybe the Photoshop plugin for outpainting. You can upload your linear representation (sketch) and generate. But in essence, this is not progress.
I don't extend my drawing ability or produce any original work by synthesizing all the available artworks. The long term negative effects are obvious. After 3 to 5 years, kids will not bother to draw at all. In my view, this is not progress for humanity, there are a ton of scientific data about the importance of drawing for development of the mind.
The same applies to every human form of creation. You cannot beat the ultimate "calculator" with a model trained on all human intellectual production. Don't get me to start on corporations and greed and how they will view the necessity of human labor.
Earlier quoted context omitted.
Maybe odd question, but: would you recommend taking this course if my goal is to build (and sell) products leveraging ML? (e.g. SaaS) As in, with the pace of improvements from other AI startups and general availability of their APIs (e.g. GPT-4), is there a specific advantage (aside from maybe cost) to learning to build my own models? Or is the course more suitable for people wanting to become ML engineers (or simila…
Just my two cents, as someone with 8000 academic citations and one AI SaaS exit, on AI entrepreneurship: The more time you spend on marketing, the better. We found that as our AI got worse, our product got better.
This looks awesome, however I probably need to do a bootcamp with real people to compete and have comradery with to actually retrain on the basics in this. It doesn't matter where in the world this is (I like to travel), but does anyone have a recommendation for in person bootcamps on AI?
Universities are often open to sit in classes, you can act it you were an enrolled student.
I just finished this! My thoughts: I recommend it. I feel I can now read an arbitrary paper, frown a lot, and eventually understand what it's talking about - to the point where I can implement my own buggy version. And hey, I built my own stable diffusion!! I found the previous version of this course[1] to be a good complement: it's older (predates SD) but I feel it explains core concepts slightly better. Very unders…
Do you recommend doing fastai and karpathy simultaneously or one at a time?
I just finished this! My thoughts: I recommend it. I feel I can now read an arbitrary paper, frown a lot, and eventually understand what it's talking about - to the point where I can implement my own buggy version. And hey, I built my own stable diffusion!! I found the previous version of this course[1] to be a good complement: it's older (predates SD) but I feel it explains core concepts slightly better. Very unders…
How long did it take you?