Artificial intelligence (AI) is still transforming the world of business. Across chatbots and intelligent agents, AI is also facilitating the simplification of processes and improvement of user experiences. However, with .NET developers paying close attention to the development of new software involving the use of artificial intelligence, it is important to know how these systems can be evaluated in an efficient manner. In this blog post, we'll dive into the importance of new agent quality and Natural Language Processing (NLP) evaluators in .NET AI applications and how a .NET development company can leverage these tools to build smarter solutions. Why is agent quality so significant to AI? AI Agent Quality Definition An agent in the context of AI is a system capable of completing tasks or making decisions on its own, given data as input. Independent of whether you are using a recommendation engine or a more conversational AI bot, the quality of the agent itself will affect the eff...
The fourth industrial transformation is on the horizon for the manufacturing industry. The fourth industrial revolution (Industry 4.0), in which digital technologies, artificial intelligence, and interconnectivity become the primary theme, fundamentally changes the way of designing, manufacturing, and delivering products. Smart manufacturing, which is at the center of this transformation, uses advanced technologies to develop intelligent, flexible, and efficient production systems. The .NET framework by Microsoft has already become one of the important technologies that can allow manufacturers to develop solutions of high quality and scale that can utilize the full potential of Industry 4.0. The Principle of Smart Manufacturing SM touches upon the main paradigm of the new production via the introduction of the formerly untapped information as the driving force, as well as interconnected data-driven automation that can respond in real time to alterations. Among the important ones a...