DS@GT ARC Seminar Notes
Introduction
Overview
Syllabus
Competition
Overview
Useful Background
Choosing a Venue
Overview
Kaggle - Machine Learning and Data Science Competitions
CLEF - Conference and Labs of the Evaluation Forum
Other Venues
Our Research Process
Literature Review
Research Proposal
Overview
Example Proposal - CS 8903
Forming Teams
Conducting Experiments
Writing a Paper
Applied Methods
Overview
Environment Setup
SSH and Git
Python
Jupyter
VS Code
PACE
Concepts
Exploratory Data Analysis
Introduction to Embeddings
Information Retrieval Basics
Large Language Models
Understanding Transformer Architecture
Pre-training vs Fine-tuning
Hugging Face Transformers Library
Parameter-Efficient Fine-Tuning (PEFT)
LLM Inference and Deployment Considerations
Containerized Workloads
Workflow Management
Cookbook
Overview
Resources
About DS@GT ARC
About DS@GT
Print Site
DS@GT ARC Seminar Notes
Applied Methods
Concepts
Large Language Models
Edit on GitHub
Large Language Models
Work in Progress
Understanding Transformer Architecture
Pre-training vs Fine-tuning
Hugging Face Transformers Library
Parameter-Efficient Fine-Tuning (PEFT)
LLM Inference and Deployment Considerations
GitHub
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