What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED Published 2023-09-18 Download video MP4 360p Recommendations 17:07 LoRA explained (and a bit about precision and quantization) 59:48 [1hr Talk] Intro to Large Language Models 26:55 LoRA: Low-Rank Adaptation of Large Language Models - Explained visually + PyTorch code from scratch 17:38 The moment we stopped understanding AI [AlexNet] 24:07 AI can't cross this line and we don't know why. 19:17 Low-rank Adaption of Large Language Models: Explaining the Key Concepts Behind LoRA 28:18 Fine-tuning Large Language Models (LLMs) | w/ Example Code 12:29 What are AI Agents? 19:48 Transformers explained | The architecture behind LLMs 19:44 LLMs: A Journey Through Time and Architecture 22:27 MAMBA and State Space Models explained | SSM explained 20:18 Why Does Diffusion Work Better than Auto-Regression? 40:55 PEFT LoRA Explained in Detail - Fine-Tune your LLM on your local GPU 11:44 QLoRA paper explained (Efficient Finetuning of Quantized LLMs) 27:19 Low-rank Adaption of Large Language Models Part 2: Simple Fine-tuning with LoRA 24:02 "I want Llama3 to perform 10x with my private knowledge" - Local Agentic RAG w/ llama3 10:01 AI, Machine Learning, Deep Learning and Generative AI Explained 17:52 Everything you need to know about Fine-tuning and Merging LLMs: Maxime Labonne Similar videos 04:38 LoRA - Low-rank Adaption of AI Large Language Models: LoRA and QLoRA Explained Simply 07:29 What is Low-Rank Adaptation (LoRA) | explained by the inventor 13:49 Insights from Finetuning LLMs with Low-Rank Adaptation 27:19 LoRA: Low-Rank Adaptation of LLMs Explained 04:03 How to Fine-tune Large Language Models Like ChatGPT with Low-Rank Adaptation (LoRA) 05:30 Efficient LLM FINE TUNING - LORA | Visualized and Explained LORA 05:11 674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation) — with Jon Krohn 26:45 Steps By Step Tutorial To Fine Tune LLAMA 2 With Custom Dataset Using LoRA And QLoRA Techniques 15:35 Fine-tuning LLMs with PEFT and LoRA More results