India, Jan. 29 -- Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of peer-reviewed research. This architecture and its underlying algorithms will be used to scale AI applications across various domains, including large language models (LLM), vehicle analytics, and agentic controls for physical AI.
Currently, most popular machine learning systems rely on a specific deep learning architecture known as Transformers. Common GPU-based implementations of these systems make use of synchronous, tightly-coupled computing infrastructure. Despite the remarkable gains Transformers have made in advancing t...