Stanford Computer Science has so much alpha because its classes update within months of real-world research.
Most other top universities in the world don't do that, and "premier" institutions in other countries are sometimes 15-25yrs out of date.
Best part: it's free online.
Stop saying vector search retrieves the *most relevant* items to your search query.
It doesn’t.
It retrieves the *most semantically similar* items.
Similarity and relevancy are not the same.
I started my career in Data Science back in 2016 ⏳
Being self-taught, YouTube has been a great source of learning for me!
Here are some of the channels I've ardently followed:
We're releasing Look Mom No Cloud today — a Linux + Mac desktop GUI + compiler to run local models
We're initially rolling this out as a private beta to collect user feedback and suggestions, and converge on the ideal UX for developers to build local AI apps
Threadboii (🧵 1/6)
@hi_sonu_ Note that this is the latest entry to my “Zero to Hero” lecture series. If you’re a beginner I would watch the playlist from start and in order and then I think yes, you should be able to get pretty far.
you know just because you ask an LLM to describe its inner state doesnt mean that its answer was the result of it actually inspecting any kind of inner state
lmao even