List: AI Notes | Curated by John Lu

Aug 23, 2024
11 stories
AI Notes
John Lu
Key Concepts from Recommendation SystemTL;DR: Recommendation system demand a deep understanding of not only the technical aspects but also the ability to interpret and apply…
Aug 21, 2024
Aug 21, 2024
John Lu
Common Tasks for Data AnalystMachine Learning Interview
Aug 5, 2024
Aug 5, 2024
John Lu
BERT in a nutshellSimplify the explanation of BERT and how it works
Jun 15, 2024
Jun 15, 2024
John Lu
The mean and standard deviationSimplify the concepts of mean, variance, and standard deviation
Jun 6, 2024
Jun 6, 2024
John Lu
General idea of the Central Limit TheoremBreak down the general idea of the most important theorem in probability
Jun 5, 2024
Jun 5, 2024
John Lu
Denoising Diffusion Probabilistic Model Explained in High-Level OverviewsSimplify the explanation of generative modeling and denoising diffusion probabilistic models
Jun 4, 2024
Jun 4, 2024
John Lu
The latent manifold of Stable DiffusionManifold Learning
Jun 3, 2024
Jun 3, 2024
Stable Diffusion 背後的數學推導實在很噁心。 
寫了一篇筆記，high-level 地解釋他的運作原理
John Lu
Stable Diffusion in a nutshellUnraveling the Principles of Stable Diffusion in the Simplest Way Possible
Jun 2, 2024
Jun 2, 2024
LoRA 是近期 (2021~) 很重要的 research，可以用少量的參數來 fine-tune 大模型。 (LLM / Diffusion Models)
寫了一篇文章來解釋 LoRA 的運作原理
John Lu
LoRA Explained: Parameter-efficient fine-tuningRedefining the Rules of AI by Empowering Efficient Fine-Tuning for Large Language Models and Diffusion Models
Jun 2, 2024
Jun 2, 2024
John Lu
MLOps explainedThe importance of MLOps and the processes associated with it
May 8, 2024
May 8, 2024
AI 工程師面試常見問題
John Lu
Top Interview Questions for AI EngineerFundamental Basics for Machine Learning
Apr 27, 2024
Apr 27, 2024