AI automation, or combining AI and automation, is used to handle repetitive and time-consuming tasks with the goal of streamlining a given workflow and reducing costs and increasing efficiency. Unlike traditional automation, AI agents can autonomously analyze results and data and adapt processes to achieve more relevant results. AI agents use machine learning and natural language processing (NLP) to understand and respond to human language, which can make intelligent decisions based on historical data. The introduction of large language models (LLMs) has brought significant improvements to these techniques, allowing for more intelligent decisions rather than just predictions. A real-world example of this is when a customer asks a question to a virtual agent on a companys website, which responds with a more complete resolution than a preprogrammed answer due to AI automation.
Source
This post was brought to you by Wrk. Our bot looks for news related to automation and post daily.
