LLM University
Learning and science
online course on llms
SHOW HN2023
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LLM University
Visual intuitive explanations of LLM concepts (LLM University)
news.ycombinator.com#large language models#embeddings#transformers#llm course#semantic search
How HN took it
11 positive, 6 neutral or asking, 1 mixed, 4 critical, out of 22 comments about the project. Thread score +0.41.
Design: 1 for, 4 againstIdea: 1 for, 0 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Good, high-quality resource that teaches more than typical blog posts
From 1 comment
This is pretty excellent material, even just spending 10 minutes I have learned more than most random blog posts in the past few months.
kfarr on HN
Helpful and well-suited to its stated intent
From 2 comments
I read and watched almost all the modules and for me it as it is, perfectly accomplishes the intention of the course as stated by the op. Your suggestion may work for other…
pumanoir on HNLooks really helpful. Joined the community as well.
40fishes on HN
Objections
Landing page reads like a syllabus or documentation, not visual and intuitive
From 2 comments
> We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. Kinda frustrating that the main link dumps…
jfarmer on HNI know this course is meant to be content marketing for your company, and I don't mean this in a derogatory sense--you're doing content marketing right by providing high quality…
enumjorge on HN
The apple placement quiz image is confusing without reading the text
From 2 comments
> We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. Kinda frustrating that the main link dumps…
jfarmer on HNI understand that, of course. Is your goal to make it feel like a typical university course or like something else? If like a typical university course, start with a syllabus and…
jfarmer on HN
Too much preamble and logistics before reaching the content
From 2 comments
> We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. Kinda frustrating that the main link dumps…
jfarmer on HNI know this course is meant to be content marketing for your company, and I don't mean this in a derogatory sense--you're doing content marketing right by providing high quality…
enumjorge on HN
Requests
Add dark mode
From 1 comment
This looks like a pretty great resource and I'm looking forward to checking it out. My only ask is that since it's the type of site I'd probably be looking at for quite a while…
ZeroCool2u on HN
Show estimated time for each section
From 1 comment
You know what would be helpful? A little tag or something at the beginning of each section that says about how long it's going to take. From what I've seen so far, it looks…
beeburrt on HN
Better landing page with visual preview
From 2 comments
The landing page is technically the course overview. I'd love to hear what you think would've made it more engaging for you. We can probably pull up some of the visuals to it as…
jayalammar on HNThe landing page should probably be more of a marketing page explaining why the course is worth checking out, with low information density and large visuals
digging on HN
Move chat button so it does not cover nav items
From 1 comment
Nice work! Minor nitpick: The intercom button obscures the topic expansion button for the final appendix in the nav menu. Maybe move intercom to the bottom right instead?
abrinz on HN
Questions
How do transformer LLMs represent knowledge internally
From 1 comment
I'm not sure how much is actually known to write about, but what I'd like to see explained is how transformer-based LLMs/AI really work - not at the mechanistic level of the…
HarHarVeryFunny on HN
Can model weights be inspected for interpretability
From 1 comment
Are you saying no one really knows how these things work? I am very curious about if you can “peer into the weights”. I have seen simple examples of that with image recognition…
quickthrower2 on HN
Alternatives named
Visual explanations of ML by Luis Serrano and Meor Amer
From 1 comment
> We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. Kinda frustrating that the main link dumps…
jfarmer on HN
mlu-explain visual ML explanations
From 1 comment
Love these. I’ve also made some visual explanations for ml for Amazon, available at https://mlu-explain.github.io/ Big fan of your early work, Jay, a big inspiration for me!
jwilber on HN