62 karma · joined March 15, 2009
I'm still in the throes of learning it myself, and it's quite the journey. I love the promises behind it, but I'm not yet far enough along to know if they are kept or if it's just kool aid (or perhaps purple drank?)
It is different in that it uses SMT instead of dependent types and tactics to prove the software, but I found it more approachable.
Also, it compiles to several target languages, whereas Lean 4 only compiles to C and therefore only supports the C ABI.
I tried the supplementary instructions to download some of the models (7B, 13B, and 30B), and it didn't seem to work. The prompt returned nothing after waiting for several minutes.
Is there a way to run just one of the larger models?
I've got pretty good experience with both, so knowing the algorithms is helpful. Where it gets harder isn't the language itself, but usually the idioms for expressing certain concepts.
For example, Rust doesn't have default parameters, so the builder pattern is pretty common.
There is also ShellFish, which is an iOS SSH file provider. You can use it to access any files via SSH as if they were from iCloud or OneDrive, etc.
Lastly, there is code-server, which is VS Code in a browser. I've used this from time to time, and it works well.
I think a table of contents is warranted. Even if it just for 3 or 4 chapters.
I am mostly done with Antifragile, and it's pulling me between political and philosophical sides. Don't know which side I'll land on, or how long I'll stay there.
As a side note, I've found "Deep Learning: A Visual Approach" to be very instructive.
Actually, for us they are contractors. We only have W-2 employees here in the US.
https://browser.geekbench.com/v5/cpu/compare/10496766?baseli...
To be surrounded by books of your own choosing is nice. It doesn't have to be a lot though. Just having a stack of nice books near your bed that you like or believe you will like is usually enough.
I am a firm believer in tsundoku.
I'm not sure that this version is legal to host, though it is an older version.
Favorites so far for me were AI4R (Ariticial Intelligence for Robotics) which is a more rigorous version of Udacity's Self-Driving Car course, ML4T (Machine Learning for Trading) where you implement various algorithms to optimize trading strategies, and ISYE 6501 (Intro to Analysis), which is a survey of various analysis techniques and ML algorithms.
Still have to take the reputed hardest course in the program, the General Algorithms course, the ML course, and an elective.
Worth the money, though I have had to skip a couple of semesters due to burnout. Work and this program are hard (for me).
As someone else pointed out, the daughter seems to be sad. I hope she is able to find someone to make her happy and is able to let her do what makes her happy.
I just completed (today) git-sync-ec2, a set of utility scripts for deploying my website (http://flagrantsystemerror.com) to S3 via a dynamic EC2 instance.
I just restarted a stack based STL allocator. I'm writing unit tests for it and hope to have it finished by Monday.
Recently I've been reading "Functional Programming: Application and Implementation" with alacrity. Only 50 pages or so in, but very good so far.