PEFT Explained Simply | Train LLMs Faster & Cheaper
LLMs like GPT and LLaMA have billions of parameters — training them from scratch takes months and a lot of money. 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! #AI #MachineLearning #LLM #PEFT #FineTuning
🎬 More from Code With Aarohi Hindi
L-10 NumPy Tutorial for Beginners (2026) | Arrays, Speed & Why NumPy for AI?
405 views
L-9 Python Modules Explained for Beginners | Import Your Own Python Module
334 views
L-8 Learn Functions in Python | Python for AI & Data Science
304 views
L-7 Python Loops Explained for Beginners | for Loop & while Loop with Examples | Python for AI
251 views
L-6 Decision Making in Python | if, else, elif | Python for AI Beginners
315 views
L-5 Python Dictionaries Tutorial | Must Know for AI & APIs
399 views