Master AI Efficiency with LoRA: Optimize Fine-Tuning like a Pro! Published 2024-05-08 Download video MP4 360p Download video MP4 720p Recommendations 49:47 “What's wrong with LLMs and what we should be building instead” - Tom Dietterich - #VSCF2023 59:49 LangGraph & Langchain: Revolutionizing Information Access 08:22 What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED 1:06:59 Introduction to Codeless Deep Learning with KNIME Analytics Platform 58:11 What is Generative Machine Learning | Fundamentals of Quantum Computing 1:00:18 Time Series overview with the KNIME Analytics Platform 34:25 Introduction to Time Series | Topology for Time Series 15:21 Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use 36:58 QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code) 22:55 Introduction to Generative AI 3:52:21 RPA UiPath Full Course | RPA UiPath Tutorial For Beginners | RPA Course | RPA Tutorial | Simplilearn 58:57 Understanding and Visualizing ResNets that Forever Revolutionized Deep Learning 47:58 Crows: Smarter Than You Think with UW Professor John Marzluff 1:02:42 Machine Learning and Signal Processing 54:11 How Birds Fly with Dr. Peter Cavanagh 46:00 Large Language Models Bootcamp Information Session 15:46 Introduction to large language models 21:41 How to Improve LLMs with RAG (Overview + Python Code) 1:18:47 David Reich: Ancient DNA and the New Science of the Human Past | Town Hall Seattle 1:24:34 Lawrence Krauss: Why Are We Here? | Town Hall Seattle Similar videos 05:30 Efficient LLM FINE TUNING - LORA | Visualized and Explained LORA 09:53 "okay, but I want GPT to perform 10x for my specific use case" - Here is how 15:35 Fine-tuning LLMs with PEFT and LoRA 08:33 What is Prompt Tuning? 28:13 Prompt Optimization and Parameter Efficient Fine Tuning 17:36 Fine-tune Stable Diffusion with LoRA for as low as $1 53:48 Fine-Tuning LLMs: Best Practices and When to Go Small // Mark Kim-Huang // MLOps Meetup #124 40:55 PEFT LoRA Explained in Detail - Fine-Tune your LLM on your local GPU 13:27 LLM2 Module 2 - Efficient Fine-Tuning | 2.3 PEFT and Soft Prompt 11:44 QLoRA paper explained (Efficient Finetuning of Quantized LLMs) 42:54 How LoRA Fine-Tuning works - 🐂 🌾 Arxiv Dives with Oxen.ai 13:19 8 bit Quantization and PEFT (Parameter efficient fine-tuning ) & LoRA (Low-Rank Adaptation) Config 1:00:56 LLM Agent Fine-Tuning: Enhancing Task Automation with Weights & Biases 06:27 Large Language Models As Optimizers - OPRO by Google DeepMind 01:39 parameter efficient fine tuning explained 14:55 Guanaco 65b LLM: 99% ChatGPT Performance WITH QLoRA Finetuning! 12:43 QLoRA: Efficient Finetuning of Large Language Models on a Single GPU? LoRA & QLoRA paper review 00:16 Testing Stable Diffusion inpainting on video footage #shorts More results