Home
What is Low-Rank Adaptation (LoRA) | explained by the inventor
Edward Hu
9 ม.ค. 2024
การดู 19,782 ครั้ง
LoRA explained (and a bit about precision and quantization)
Low-Rank Adaptation - LoRA explained
But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning
Jensen Huang จากเด็กล้างจาน สู่ซีอีโอ NVIDIA ผู้ชนะโลกใหม่ AI | The Secret Sauce EP.720
AI ครองโลก จุดเปลี่ยนหรือจุดจบของมนุษยชาติ? | GLOBAL FOCUS #24
ล่ามพูดพร้อม คุยอังกฤษแชร์ 10 วิธีเก่งภาษาแบบไม่ต้องไปเมืองนอก | คำนี้ดี EP.1153 Feat. ฟ้า Engbypfah
Mamba - a replacement for Transformers?
Low-rank Adaption of Large Language Models: Explaining the Key Concepts Behind LoRA
What is LoRA? Low-Rank Adaptation for finetuning LLMs EXPLAINED
Jeff Dean (Google): Exciting Trends in Machine Learning
Proximal Policy Optimization (PPO) - How to train Large Language Models
What is Retrieval-Augmented Generation (RAG)?
#063 - Prof. YOSHUA BENGIO - GFlowNets, Consciousness & Causality
Shapley Values Explained | Interpretability for AI models, even LLMs!
QLoRA—How to Fine-tune an LLM on a Single GPU (w/ Python Code)
Part 2-LoRA,QLoRA Indepth Mathematical Intuition- Finetuning LLM Models
What are Transformer Models and how do they work?
[1hr Talk] Intro to Large Language Models
Insights from Finetuning LLMs with Low-Rank Adaptation
The Most Important Algorithm in Machine Learning