Research Article
Asymptotic Edge of Chaos as Guiding Principle for Neural Network Training
It has been recently demonstrated that optimal neural networks operate near the asymptotic edge of chaos for state-of-the-art feed-forward neural networks, where its generalization power is maximal...
Research Article
Consolidating Trees of Robotic Plans Generated Using Large Language Models to Improve Reliability
The inherent probabilistic nature of Large Language Models (LLMs) introduces an element of unpredictability, raising concerns about potential discrepancies in their output. This paper presents a no...
Opinion
Generative AI for Complex Scenarios: Language Models are Sequence Processors
Large Language Models (LLMs), exemplified by GPT-4, have transcended traditional boundaries in language processing, demonstrating remarkable capabilities in understanding and generating nuanced tex...
PDF/EPUB