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.
How to Build a Highlight Read Aloud App with Aura-2 Text-to-Speech
What Developers Need to Know About WER, KER, and KRR
How to Build a Speech-to-Text (STT) Note Taking App in Python
How Diffusion Models Are Reimagining Game Environments: DIAMOND
Tutorial and Demo: How to Build a Voice AI Video Game in Python
Codestral 22B, Owen 2.5 Coder B, and DeepSeek V2 Coder: Which AI Coder Should You Choose?
Improvement or Stagnant? Llama 3.1 and Mistral NeMo
Top 6 Medical AI Models that You Need to Know
Google vs. NVIDIA: Losing the AI Innovation Competition
The Tests that Tricked GPT-4o
NVIDIA, RTXs, H100, and more: The Evolution of GPU
Implementing a local LLM chatbot that can run code and searches
Tutorial: Building an end-to-end LLM Chatbot
Building an LLM Stack Part 3: The art and magic of Fine-tuning
Building an LLM Stack Part 2: Pre-training Tips & Data Processing Tricks
Building an LLM Stack, Part 1: Implementing Encoders and Decoders
Challenging LLMs: An in-depth look at Text-to-Speech AI
Unveiling Defensibility Strategies for AI Startups
How Deep Learning & GBMs Can Change the Tabular Data Landscape