ARQS. Road to synthesis inteligencies (SIs)
Current LLMs (Large Language Models) with billions of parameters demonstrate their immense potential day by day with new evolutions, optimizations, and extremely effective adjustments in specific domains. Nevertheless, at Amgor, we believe that there are different technological spaces yet to be explored, whose potential in areas such as knowledge understanding and dynamic learning adaptation could be several orders of magnitude superior to what is currently happening with LLMs. We are working on developing a new paradigm: Synthesis Intelligences. Our ARQS (Symbolic Architecture for Conscious Emulation) aims to introduce a complementary vision: systems that not only generate responses based on LLM models, but also learn, understand, and continuously optimize their decision-making process in productive environments. With a focus on dynamic Machine Learning and a processing speed that until now can only be achieved with enormous hardware investments. The objective? To have systems whose alignment is to improve each day they are in production, guaranteeing a constantly evolving adaptation and precision.