Low-rank Adaption of Large Language Models: Explaining the Key Concepts Behind LoRA

Low-rank Adaption of Large Language Models Part 2: Simple Fine-tuning with LoRA

Transformers (how LLMs work) explained visually | DL5

LoRA explained (and a bit about precision and quantization)

台大資訊 深度學習之應用 | ADL TA Recitation: LLM LoRA Training 大型語言模型太大怎麼調整呢?

揭秘QLoRA: 通过对权重矩阵量化的方法，来高效微调大语言模型 (Unveiling QLoRA)

Tree of Thoughts: Deliberate Problem Solving with Large Language Models - Let Your LLMs Play Games!

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

What are Transformer Models and how do they work?

[1hr Talk] Intro to Large Language Models

A Guide to Parameter-Efficient Fine-Tuning - Vlad Lialin | Munich NLP Hands-on 021

Attention in transformers, visually explained | DL6

Intro to Exploratory Structured Equation Modeling - GEMINI Data Science Call - May 21, 2024

Introduction to large language models

How to Start Coding | Programming for Beginners | Learn Coding | Intellipaat

But what is a neural network? | Deep learning chapter 1

LoRA (Low-rank Adaption of AI Large Language Models) for fine-tuning LLM models

Stanford CS25: V3 I Retrieval Augmented Language Models

RAG vs. Fine Tuning

Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

BERT explained: Training, Inference, BERT vs GPT/LLamA, Fine tuning, [CLS] token