LLMs like GPT and LLaMA have billions of parameters — training...
We take a closer look at LLMs like GPT and LLaMA have billions of parameters — training... and its implications for both beginners and experts in training.
That’s where PEFT (Parameter Efficient Fine-Tuning) helps!
Instead of retraining all parameters, PEFT updates only a small part of the model (like 1%) — making training much faster and cheaper.
It also keeps the model’s original knowledge intact.
Created by Aarohi AI
Subscribe for more AI Explained Shorts!
Ready to take the next step? Use the information from LLMs like GPT and LLaMA have billions of parameters — training... to better understand the dynamics of training.
We've fetched this topic's video from Facebook for your viewing. If you need to download facebook video LLMs like GPT and LLaMA have billions of parameters — training... in mp4 video, simply ask us in the comments section and we’ll make it available.
Comments
Post a Comment