20:05

Finetuning Open-Source LLMs

56:58

The Three Elements of PyTorch

15:03

Train ADALINE with Stochastic Gradient Descent: Step-by-Step Python Guide

30:00

Autoencoder In PyTorch - Theory & Implementation

23:11

Managing Sources of Randomness When Training Deep Neural Networks

58:46

Developing an LLM: Building, Training, Finetuning

57:10

Pytorch Transformers from Scratch (Attention is all you need)

13:49

Insights from Finetuning LLMs with Low-Rank Adaptation