For anyone confused what "RAG" is: it stands for "Retrieval Augmented Generation", which is where the LLM model is paired with some sort of "database" (often a vector database) where LLM looks up additional data when performing the task.
That's a good point. The project-first approach worked very well for me when learning new software frameworks/libs/etc.
My main concern with EE is that once I'll get to the brain-computer interfaces, I'll be in a situation where there aren't many off-the-shelf components/solutions available, and at the same time I'll likely need to know how I can push physics closer to the edge. I suspect I may need a better theoretical foundation to do that.
That said, I definitely like the idea of focusing a lot on hands-on projects.
About 1/2 of the textbooks came from the old course outlines (e.g. https://ece.uwaterloo.ca/~ece207/) and class shopping lists on UWaterloo book store. About 1/4 were guesses, and the other 1/4 I don't know where to even start looking.
The higher the course the lower the confidence of having the right book.
OP here. Nice, thanks! I didn't put math down because my undergrad was in applied math and I got to use it a lot early in my career. But sounds like I'll definitely need a refresher.
Yeah, my first guess is the movement of that faint inner line triggers the Parasol cells or some other movement detection cells in our retina (https://en.wikipedia.org/wiki/Parasol_cell).
Vena is a Toronto-based rapidly growing startup with 300+ employees. We build Financial Planning and Analysis (FP&A) software that's based on an Excel plugin.
Looking for developers of all seniority levels to help build new features as well as solve back-end and front-end challenges as we scale the solution to more customers and more data.
> 11/18: Started going through the French Duolingo tree
> 3/19: Reached the end of the Duolingo tree (level 1 in all skills, but most were level 3+)
This is pretty impressive. I've started French Duolingo around the same time and have been doing 30 min per day every day; 14 months later I'm about 1/2-way down.
Yeah, from personal experience (and from watching others), a lot of the habits like the ones the author cites last a few months and then you end up dropping them for whatever reason.
That's pretty cool! This is pretty simple and minimalistic.
I've been working on my own different take on time tracking too (https://maesure.com) which asks you periodically what you're doing and builds a picture of the day from that.
My company (a large-ish pension plan, ~10 dev teams, most applications are internal) was on AWS Beanstalk and switched to Kubernetes (EKS). Once we moved in and cleared the initial hurdles, the overall impression is that K8s is very pleasant to work with: solid, stable, fast, no bad surprises. Everything just works. We probably spend 0.1 FTE taking care of Kubernetes now. Definitely was worth the cost.
All AWS tech I've tried before (ECS, Beanstalk, plain EC2, Cloud Formation) is slower, has random quirks, and needs an extra layer of duct tape.