Tech& Ai

Modern enterprises face a myriad of challenges when it comes to internal data research. Data today is scattered across various sources—spreadsheets, databases, PDFs, and even online platforms—making it difficult to extract coherent insights. Many organizations struggle with disjointed systems where structured SQL queries and unstructured documents do not easily speak the same language. This fragmentation … Read more

Large language models have significantly advanced our understanding of artificial intelligence, yet scaling these models efficiently remains challenging. Traditional Mixture-of-Experts (MoE) architectures activate only a subset of experts per token to economize on computation. However, this design leads to two notable issues. First, experts process tokens in isolation—each expert works independently without any cross-communication. This … Read more

Artificial intelligence has evolved from simple rule-based systems into sophisticated, autonomous entities that perform complex tasks. Two terms that often emerge in this context are AI Agents and Agentic AI. Although they may seem interchangeable, they represent different approaches to building intelligent systems. This article provides a technical analysis of the differences between AI Agents … Read more