Implementing GPT-2 in CSS (shubhampatil.dev)

A developer has successfully implemented GPT-2 on a webpage using only CSS, eschewing traditional programming languages like JavaScript or WebAssembly (WASM). This innovative project utilized around 124 million parameters and showcased the potential of modern CSS for computational tasks by cleverly leveraging CSS math and variable font files to perform matrix multiplications, which are essential for transformer models. The developer's approach turned complex neural network operations into a series of CSS calculations, pushing the boundaries of what CSS can accomplish. This achievement is significant for the AI/ML community as it highlights the versatility of CSS in performing tasks beyond its intended use, such as implementing a machine learning model in a web environment. The use of variable fonts for executing matrix operations offers a unique, efficient way to handle large models, though it challenges the limits of CSS in terms of performance, demonstrated by the necessity of splitting large parameter sets across multiple fonts. Overall, this exploration opens new avenues for creative coding in AI applications and emphasizes the evolving landscape of web technologies.