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yacine_

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Mathematical Visualizations by Prof Mark McClure

marksmath.org
2 points·by yacine_·3 lata temu·1 comments

Show HN: ML paper podcast generator using GPT and Tortoise-TTS

scribepod.substack.com
81 points·by yacine_·3 lata temu·19 comments

comments

yacine_
·2 lata temu·discuss
that's why i'm writing my own cad software, dingcad at dingcad.com

it will be free and open source
yacine_
·2 lata temu·discuss
unfortunately that one requires considerably more care
yacine_
·2 lata temu·discuss
yes
yacine_
·2 lata temu·discuss
yeah its a pretty bad job. i never held a gun in real life and they kind of scare me tbh
yacine_
·2 lata temu·discuss
[flagged]
yacine_
·2 lata temu·discuss
I do! And we're hiring! x.com/jobs
yacine_
·2 lata temu·discuss
lmao you really think this took me more than 15 minutes to do?
yacine_
·2 lata temu·discuss
i've been using sokol.h and it just works :)
yacine_
·2 lata temu·discuss
it's monkey-ohio-wrath

good luck hopefully you use it before anyone else does
yacine_
·2 lata temu·discuss
Am I crazy? is it really that hard? I built a web design product that rivals figma in a web browser in like a month, and bootstrapped the whole thing lmao
yacine_
·3 lata temu·discuss
I'd imagine you feel quite upset that you are paying to be silently toyed with by a software company :P I definitely do

Infuriating and is only accelerating my basement cluster
yacine_
·3 lata temu·discuss
It's not. They pushed another "update" this monday that fixed the problem. Of course, we'll never know, because openAI isn't only closed weights, architecture, and research, but it's also closed as in there is no transparency at all.
yacine_
·3 lata temu·discuss
YOU ARE ON THE WRONG WEBSITE!!!
yacine_
·3 lata temu·discuss
Looks like you need to be o(europe) sized to bully big tech companies
yacine_
·3 lata temu·discuss
sign me up lmao
yacine_
·3 lata temu·discuss
Here's an example: https://paperswithcode.com/task/coreference-resolution
yacine_
·3 lata temu·discuss
Bloated does not mean bad. It means bloated. Which, for my purposes, makes it not the best choice.
yacine_
·3 lata temu·discuss
yes, unfortunately :(

did you know that the weight adapter happens on demand, on inference, in the LoRA forward pass function?

leaky, leaky, leaky

GGML will save us, surely
yacine_
·3 lata temu·discuss
If you fine tune them to be task specific, they'll perform well. In my experience, this control loop is a better investment than "prompt engineering". (When I say task specific, I mean very task specific)

GPT4 over the API is too fine tuned, which constrains its behavior. It fails to capture nuance in instructions. When you have the bag of weights, you can actually control your model. Having actual control over the model, and understanding the infrastructure that it's running on helps you meet actual SLAs.

And it's cheaper, if you're not backed by infinite venture money.

https://arxiv.org/abs/2307.13269
yacine_
·3 lata temu·discuss
This is an ad. You'd be best served avoiding additional dependencies. At this point, you don't want to be trading off simplicity for ease. Even transformers + huggingface feels like too much bloat.

You can use this https://github.com/PygmalionAI/training-code

Or, you can use this; for QLoRA https://github.com/artidoro/qlora

The tools and mechanisms to get a model to do what you want is ever so changing, ever so quickly. Build and understand a notebook yourself, and reduce dependencies. You will need to switch them.