Tiny GPT in Go. Optimised for Understanding. Trained on Jules Verne Books (github.com)

A new implementation of a simplified GPT model, developed in pure Go, has been announced, trained specifically on the works of Jules Verne. This model emphasizes ease of understanding while still maintaining practical functionality. Users can expect unique responses reflective of Verne's literary style, and training the model on a standard MacBook Air M3 takes about 40 minutes. The model is designed to save its weights, allowing it to continue training from previous sessions, thereby fostering its learning potential. This initiative is significant for the AI/ML community as it simplifies the complexities often associated with transformer architectures while providing an educational tool that aligns with the "Neural Networks: Zero to Hero" course. It allows developers to explore core concepts from basic neurons to advanced self-attention mechanisms without the added complexity of batch processing. The goal is to make AI development more accessible by reducing dependencies and focusing on intuitive code, making it easier for newcomers to grasp essential machine learning principles in a hands-on manner.