LoRA (Low-Rank Adaptation) Intro By Google Engineer | LLM Parameter-Efficient Fine-Tuning скачать в хорошем качестве

LoRA (Low-Rank Adaptation) Intro By Google Engineer | LLM Parameter-Efficient Fine-Tuning

Ever felt like cutting-edge AI was out of reach? Low-Rank Adaptation, or LoRA, is breaking down those barriers. By dramatically reducing the computational resources and time needed for fine-tuning, LoRA is making advanced AI customization accessible to a wider audience – from individual researchers with limited resources to smaller startups with big ideas. This democratization of AI power promises a surge of innovation from unexpected places. As a regular normal SWE, I want to share this with everyone interested and hopefully you can be part of it! Related videos: LLM Training & RL:    • LLM Training & Reinforcement Learning from...   AutoEncoders Deep Dive:    • AutoEncoders Deep Dive By Google Engineer ...   Prompt Engineering:    • Prompt Engineering Explained By Google Eng...   #ai #llm #finetuning #machinelearning #agile 0:00 Intro 0:33 Motivation 4:34 LoRA 8:43 Pros and Con 13:24 Industry Adoption 14:19 QLoRA 16:13 Other PEFT: Adapter Tuning 17:45 Other PEFT: DoRA