Никифор Малков

Exploring artificial compressed languages to improve efficiency, context usage, and cross-lingual unification in LLMs Artificial Languages for Efficient Training of Large Language Models Abstract Large Language Models (LLMs) are typically trained on heterogeneous natural language corpora. This introduces redundancy, noise, and the necessity to allocate parameters for handling multiple linguistic...