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...
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