OpenLogos in the context of custom language models for the business sector: A historical perspective on the roots of natural language generation

In the framework of Multi3Generation COST Action (CA18231), we have provided the OpenLogos tools and resources to the community with the belief that (i) they can be beneficial to Early Research Career researchers and (ii) they can also assist startup companies with limited resources in initiating endeavors to create their Natural Language Generation, Machine Translation, Paraphrasing or other Natural Language Processing systems. In this article, we explore OpenLogos capabilities in an industry case scenario. We provide historical background on the proven importance of the Logos commercial system in shaping the documentation process of a multinational. Understanding the historical significance of Machine Translation is crucial for grasping our present position in Generative Language Models and our role in the domain of Generative Artificial Intelligence. We explore how novel Custom Generative Language Models, drawing inspiration from the Logos Model, can prove beneficial across various industries worldwide.