Show HN: TRiP – a complete transformer engine in C built from scratch just by me (github.com)

A developer has unveiled TRiP, a comprehensive transformer engine built from scratch in C, designed to facilitate a deeper understanding of transformer architecture. Over an 18-month period, the project was created during personal time primarily for educational purposes, enabling users to explore transformer internals, including inference, training, and multimodal capabilities. TRiP supports various architectures, such as Llama 2 and GPT-2, while incorporating essential functions like backpropagation with AdamW and advanced tokenization via BPE. This release is significant for the AI/ML community as it emphasizes hands-on learning and offers an alternative to established frameworks like PyTorch or TensorFlow—allowing enthusiasts to delve into the fundamental mechanics of transformers without relying on high-level abstractions. The engine's design enables full control over tensor operations and model internals, thereby acting as a valuable resource for educational purposes. With detailed documentation and a straightforward setup process, TRiP not only serves as an open-source pedagogical tool but also challenges conventional AI development paradigms by promoting a return to its mathematical roots.