mpcsb

5 ms·

1.
by mpcsb 18d ago
Nice read
2.
LLM distillation: optimizing what to label(testingbranch.com)
2 points by mpcsb 18d ago|0 comments
3.
How Much Information Does Adding Noise Remove?(testingbranch.com)
2 points by mpcsb 5mo ago|0 comments
4.
Rolling your own serverless OCR in 40 lines of code(christopherkrapu.com)
127 points by mpcsb 7mo ago|64 comments
5.
Why differential privacy is awesome(desfontain.es)
1 points by mpcsb 7mo ago|0 comments
6.
Gaussian Processes, not quite for dummies(thegradient.pub)
1 points by mpcsb 7mo ago|0 comments
7.
by mpcsb 7mo ago
For the life of me, I can't get the fetish with apple machines. I mean, I get they are built very well, and it's all top tier, but the return on dollar spent is very dubious
8.
Re-Identification Risk vs. K-Anonymity(testingbranch.com)
7 points by mpcsb 7mo ago|0 comments
9.
by mpcsb 10mo ago
There's hardly any value to this competition these days. Not certain if it ever was bias free, but it's a mockery of a talent show.
10.
A Eulogy for Little's Law(allaboutlean.com)
2 points by mpcsb 10mo ago|0 comments
11.
Measuring information loss when adding noise and adjusting data resolution(testingbranch.com)
1 points by mpcsb 10mo ago|0 comments
12.
by mpcsb 10mo ago
I have done my share of fine tuning on open source LLMs (e.g. Llama). I'm surprised you have very poor generalization. I assume you're using standard techniques, like lora/qlora, which might leave room for issues with your da
13.
Merriam-Webster and Unstructured Data Processing(georgeho.org)
6 points by mpcsb 10mo ago|1 comments
14.
by mpcsb 10mo ago
I thank project Euler because whenever I face some coding challenge that has any mathematical inclination, I will(!) impress interviewers. I spent a lot of time on it, and learned a considerable amount of theory and hacks. What a privilege
15.
by mpcsb 10mo ago
My post: I used the Z3 SMT solver to test if two models are logically equivalent across the entire input space (not just in the sample data). It either finds a counterexample or proves none exists. To be considered when simplifying complex
16.
Proving two ML models are equivalent using Z3 (with code)(testingbranch.com)
3 points by mpcsb 10mo ago|1 comments
17.
Do embeddings spaces behave like metric spaces?(testingbranch.com)
4 points by mpcsb 10mo ago|1 comments
18.
by mpcsb 10mo ago
Author here. This post started as an experiment to evaluate embedding models and impact on retrieval from a geometric perspective. I measured triangle inequality, local stability, and model compression effects. Plots and code included.