The construction of a large language model (LLM) depends on many things: banks of GPUs, vast reams of training data, massive amounts of power, and matrix manipulation libraries like Numpy. For ...
The results were fascinating, impressive, and sometimes surprisingly broken. Here are five lessons I learned that can help you get better results faster.
Pencil.dev focuses on design-to-code speed versus static tools; upcoming reusable component libraries are planned for 2026.