Zian (Andy) Wang

AI Content Fellow

Zian (Andy) Wang is a deep learning researcher and technical writer. His research mainly focuses on applying deep learning methods to tabular data, image processing, and natural language processing. His work at the Najafian Lab at the University of Washington is centered around improving and discovering techniques for biomedical image segmentation. As a high school student, Andy published "Modern Deep Learning for Tabular Data" with Apress, which exposes and synthesizes lesser-known deep learning tools and techniques backed by recent research and potential new directions for tabular data modeling. Outside of work and academic pursuits, Andy is an avid pianist and competitive swimmer.

Zian (Andy) Wang’s ArticlesView All
Building an LLM Stack Part 2: Pre-training Tips & Data Processing Tricks
AI & Engineering
Building an LLM Stack Part 2: Pre-training Tips & Data Processing Tricks
Zian (Andy) Wang

Zian (Andy) Wang

Feb 15, 2024

Building an LLM Stack, Part 1: Implementing Encoders and Decoders
AI & Engineering
Building an LLM Stack, Part 1: Implementing Encoders and Decoders
Zian (Andy) Wang

Zian (Andy) Wang

Jan 31, 2024

How AI Consumes Water: The unspoken environmental footprint
AI & Engineering
How AI Consumes Water: The unspoken environmental footprint
Zian (Andy) Wang

Zian (Andy) Wang

Jan 22, 2024

Challenging LLMs: An in-depth look at Text-to-Speech AI
AI & Engineering
Challenging LLMs: An in-depth look at Text-to-Speech AI
Zian (Andy) Wang

Zian (Andy) Wang

Jan 10, 2024

Are LLMs and Diffusion Models Overshadowing Other AI Advances?
AI & Engineering
Are LLMs and Diffusion Models Overshadowing Other AI Advances?
Zian (Andy) Wang

Zian (Andy) Wang

Dec 3, 2023

Unveiling Defensibility Strategies for AI Startups
AI & Engineering
Unveiling Defensibility Strategies for AI Startups
Zian (Andy) Wang

Zian (Andy) Wang

Nov 14, 2023

How Deep Learning & GBMs Can Change the Tabular Data Landscape
AI & Engineering
How Deep Learning & GBMs Can Change the Tabular Data Landscape
Zian (Andy) Wang

Zian (Andy) Wang

Nov 6, 2023

From DAN to Universal Prompts: LLM Jailbreaking
AI & Engineering
From DAN to Universal Prompts: LLM Jailbreaking
Zian (Andy) Wang

Zian (Andy) Wang

Nov 1, 2023

Unveiling RAG: The latest AI’s gateway to current knowledge
AI & Engineering
Unveiling RAG: The latest AI’s gateway to current knowledge
Zian (Andy) Wang

Zian (Andy) Wang

Oct 28, 2023

Teaching AI to Spell: The Surprising Limits of LLMs
AI & Engineering
Teaching AI to Spell: The Surprising Limits of LLMs
Zian (Andy) Wang

Zian (Andy) Wang

Oct 18, 2023

BIG-Bench: The Behemoth Benchmark for LLMs, Explained
AI & Engineering
BIG-Bench: The Behemoth Benchmark for LLMs, Explained
Zian (Andy) Wang

Zian (Andy) Wang

Oct 4, 2023

LegalBench: The LLM Benchmark for Legal Reasoning
AI & Engineering
LegalBench: The LLM Benchmark for Legal Reasoning
Zian (Andy) Wang

Zian (Andy) Wang

Sep 26, 2023

Mixture of Experts: How an Ensemble of AI Models Decide As One
AI & Engineering
Mixture of Experts: How an Ensemble of AI Models Decide As One
Zian (Andy) Wang

Zian (Andy) Wang

Sep 22, 2023

HumanEval: Decoding the LLM Benchmark for Code Generation
AI & Engineering
HumanEval: Decoding the LLM Benchmark for Code Generation
Zian (Andy) Wang

Zian (Andy) Wang

Sep 4, 2023

SuperGLUE: Understanding a Sticky Benchmark for LLMs
AI & Engineering
SuperGLUE: Understanding a Sticky Benchmark for LLMs
Zian (Andy) Wang

Zian (Andy) Wang

Aug 9, 2023

What is Machine Unlearning, and Why Does It Matter?
AI & Engineering
What is Machine Unlearning, and Why Does It Matter?
Zian (Andy) Wang

Zian (Andy) Wang

Aug 4, 2023

Why Bigger Isn’t Always Better for Language Models
AI & Engineering
Why Bigger Isn’t Always Better for Language Models
Zian (Andy) Wang

Zian (Andy) Wang

Aug 1, 2023

How To Keep Up With Advancements in AI
AI & Engineering
How To Keep Up With Advancements in AI
Zian (Andy) Wang

Zian (Andy) Wang

Jul 21, 2023

The 6 Foundational Courses To Learn Large Language Models
AI & Engineering
The 6 Foundational Courses To Learn Large Language Models
Zian (Andy) Wang

Zian (Andy) Wang

Jul 6, 2023

Breaking the Gradient: Supervised Learning with Non-Differentiable Loss Functions
AI & Engineering
Breaking the Gradient: Supervised Learning with Non-Differentiable Loss Functions
Zian (Andy) Wang

Zian (Andy) Wang

May 30, 2023

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