Understanding Transformer Architecture
A deep dive into the attention mechanism that revolutionized NLP and powers modern LLMs.
Sharing insights, resources, and projects at the intersection of artificial intelligence and software development. By Taeyoung Lee.
15+
Projects
50+
AI Resources
5+
Years Experience
A collection of AI-focused projects exploring machine learning, natural language processing, and intelligent systems.
Thoughts, tutorials, and explorations in the world of artificial intelligence and machine learning.
A deep dive into the attention mechanism that revolutionized NLP and powers modern LLMs.
Comparing approaches for customizing LLMs: when to fine-tune and when retrieval-augmented generation is better.
Best practices for deploying machine learning models at scale with monitoring and versioning.
Advanced techniques for crafting effective prompts that maximize AI model performance.
I'm Taeyoung Lee, a developer passionate about artificial intelligence and building tools that push the boundaries of what's possible with machine learning.
Currently focused on large language models, neural architectures, and making AI more accessible through open-source projects and educational content.
When I'm not coding, you'll find me reading research papers, contributing to AI communities, or experimenting with the latest models and techniques.
Interested in AI projects, research collaborations, or just want to chat about the latest in machine learning?
Get in Touch