Ask HN: Resources to brush up from 'Intro to ML' to current LLMs/generative AI?
My 'AI' experience to date consists of basically a prolog course, and an 'Intro to ML'. I could say handwavy things about regression and SVMs. I'm pretty sure we covered convolutional neural nets but I barely recall that at all.
I'm interested in understanding more about transformers/GPT/LLMs and more 'media-rich' generative AI like DALLE and Midjourney etc. (I assume they're linked, because they seemed to have breakthroughs and blow up at the same time, but I don't understand that at all) - but not 'prompt engineering' or specifics about tuning model parameters etc.
Can anyone recommend any resources for 'writing a CMS' vs. 'how to configure Wordpress and install a plugin', as it were?
(Prefer text, but understand it might be too new for good ones to have established themselves. In that case, something like OCW preferred to 'screamface'.)
I'm interested in understanding more about transformers/GPT/LLMs and more 'media-rich' generative AI like DALLE and Midjourney etc. (I assume they're linked, because they seemed to have breakthroughs and blow up at the same time, but I don't understand that at all) - but not 'prompt engineering' or specifics about tuning model parameters etc.
Can anyone recommend any resources for 'writing a CMS' vs. 'how to configure Wordpress and install a plugin', as it were?
(Prefer text, but understand it might be too new for good ones to have established themselves. In that case, something like OCW preferred to 'screamface'.)
Cheers!