eachro

7 ms·

1.
by eachro 2mo ago
Anyone got a list for the agentic LLM age?
2.
by eachro 9mo ago
Do you think this would be appropriate for a command line tool that hits various apis as the function calls? Ex: "what's the weather in SF tomorrow?" Or "daily price change of apple, Tesla stock for past week"? (Let
3.
by eachro 1y ago
Does anyone know what the state of the art industry solvers do for these problems? I had dabbled a bit in ml approaches to combinatorial optimization with great interest a few years back, but I don't think any of these rl based methods
4.
by eachro 1y ago
Didn't Amazon aquihire Adept Labs?
5.
by eachro 1y ago
If you wanted to train it from scratch, how long would it take on a reasonable GPU setup?
6.
by eachro 1y ago
I'm reminded of the nixon quote: "When the president does it, that means it's not illegal."
7.
by eachro 1y ago
What would it take to make NYC more like Tokyo where you have consumer/retail level things on the not-ground floor level.
8.
by eachro 1y ago
From what I've heard, the llama3 models are fairly easy to fine-tune (please correct me if I'm wrong or if there are more amenable models here). How easy is it to finetune smollm3? I know a lot of the MoE LLMs have been quite fick
9.
by eachro 1y ago
"And 50% of the time they work 50% of the time." I think this is still an incredible outcome given how many dice rolls you can take in parallel with multiple claude/o3/gemini attempts at a problem with slightly different
10.
by eachro 1y ago
Yeah haha I got autocorrected
11.
by eachro 1y ago
Is there a reason to use data classes over pedantic base models anymore?
12.
by eachro 1y ago
A lot of people are saying 12gb is too small to do anything interesting with. What's the most useful thing people __have__ gotten to work?
13.
by eachro 2y ago
During the openai gym era of RL, one of the great selling pts was that RL was very approachable for a new comer as the gym environments were small and tractable that a hobbyist could learn a little bit of RL, try it out on cartpole and see
14.
by eachro 2y ago
For those in quant finance, how much of this is useful in your day to day?
15.
by eachro 2y ago
This looks great! Is there going to be exercises or a project based component as well?
16.
by eachro 2y ago
Thats a great choice. High trust city, super high density.
17.
by eachro 2y ago
Do the rankings ever change much year over year? For instance, with intro fountain pens, it will always be things like the platinum preppy, pilot metro, kaweco sport.
18.
by eachro 2y ago
Is there consensus about whether gnn architectures are better than transformer based ones at this point? I am aware that transformers can be viewed as a gnn too.
19.
by eachro 2y ago
Reproduce nanogpt. Then find a small dataset and see if you can start getting close to some of the reported benchmark numbers with similar architectures.
20.
by eachro 2y ago
I'd love to see linear regression taught by say a quant researcher from Citadel. How do these guys use it? What do they particularly care about? Any theoretical results that meaningfully change the way they view problems? And so on.
21.
by eachro 2y ago
This is cool that simd primitives exist in the std lib of rust. I've wanted wanted to mess around a bit more with simd in python but I don't think that native support exists. Or your have to go down to C/C++ bindings to actua
22.
by eachro 2y ago
Training in int8 is noteable (to me). I've been out of date with ML research for a bit now but last I recall, people were mostly training at full precision and then quantizing after training and finetuning a bit on the quantized model
23.
by eachro 2y ago
Is student debt dischargeable in bankruptcy?
24.
by eachro 3y ago
I wonder how he regards his success as a productivity guru vs professor. All credit to him for achieving a level of success, notoriety that most will never get close to in their life. At the same time, I suspect productivity guru is not qui
25.
by eachro 3y ago
When people learn about distributed systems outside of work, how do they actually get hands on experience with it (assuming they don't go spinning up a bunch of machines on aws/gcp/azure/etc)? I find it easiest to learn
26.
by eachro 3y ago
Can this actually be observed from data though?
27.
by eachro 3y ago
Because there are real problems to work on that benefit from the sort of problem solving with algorithms that students are hoping to do.
28.
by eachro 3y ago
Every year I see tons of CS students captivated by the beauty of algorithms in theoretical CS. I lose track of all the bright eyed undergraduates saying they love thinking about algorithms and would ideally like to spend their summer doing
29.
by eachro 3y ago
Do people use numba outside of scientific computing code? feel like for most "normal" uses, you'd probably be fine with having your code written in numpy or pandas, so I'd love to hear what people generally use numba for
30.
by eachro 3y ago
Super fun game. I really wish there were a larger online community that plays it. Jane Street made a great website for playing it online: https://figgie.com/ . But alas, there's pretty much never anyone online to play a

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