17
Surprisingly Fast AI-Generated Kernels We Didn’t Mean to Publish (Yet)
(crfm.stanford.edu)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 30 May 2025
17 points (79.3% liked)
Programming
20694 readers
143 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 2 years ago
MODERATORS
In the context of machine learning, usually a list of numbers that is arranged in a certain way, and is used for mathematical operation. You can think of it as a transfer/transform "function" that takes data as input, and spits out the representation of said data in some other way (that we usually don't know until the training is finished and we analyze the result)
The weights for the neural network or the embeddings?
Anti Commercial-AI license
No. Normally the kernel doesn't get updated in the network during training. They are called hyper-parameters. They do affect training, but they are not updated by the training algorithm