AppliedLLMCourse

Class Moto : "Less is more"

Module #1

Intro Setup

Intro to Inference

Intro to Batching

InferenceControl

Module #2

Fine tuning ideas. Gradient Descent. Pytorch

How Transformers Turned into Classifiers Work

FineTuning Bert Classifiers Raw No Optimization

Module #3

Low Rank Adaptation Theory

PEFT Mini Example

Extra Topics:

MultiModal (Vision and Laguage Transformers)

Finetunning for Function Call (Constrained Generation Technique)

Project

Project#1: Web App Two Mode Summarization and Chat Manual Inference

Project#2: Prompt Injection Classifier

Project#3: PEFT "3 Characters Personalities"