This allows AI to learn as you speak to it, which will help the technology get better with each conversation. Using machine learning algorithms, AI systems adapt and fine-tune responses over time. One important aspect of learning this way is what we call data multiplication power of AI. Conversational AI platforms such as Siri and Google Assistant learn their functions from millions of data points, resulting in a 30% improvement in accuracy over other query understanding methods.
Plus, NLP in AI systems will use the structure of sentences and their meaning. And recently, this technology has vastly improved. According to Stanford university research, GPT-3 and similar NLP models can produce more coherent and contextually relevant replies as time progresses, with a 40% increase in conversational fluidity over time. Consequently, the more users interact with AI systems, the greater their understanding (and possession of) nuances, tones and preferences as well.
Another tool in the AI toolbox is reinforcement learning, which helps it become better. Every single interaction provides input to tune what an AI responds (and does) against. If an AI system delivers a wrong answer, it would use that blunder to make changes in its operations for the future. According to a summer McKinsey study, well-implemented AI-based chatbots can 75% customer issues after six months and improves efficiency by 50% than traditional supporting methods.
The more people use AI, the more tuned-in to each user it becomes. It can analyze how many times a certain behavior has been repeated or what are the preferences and adapt to give customized responses accordingly. We have been especially familiar with it on platforms like Netflix, where AI suggests content based on watching history. According to research, 75% of Netlix users find out something new through AI-based suggestions.
This continual learning from conversations — analyzing past data and real-time feedback — makes AI better over time. The more data that is fed into an AI system, the better it becomes at anticipating what a user needs and determining the best course of action. Through this continuous learning, Ai becomes more effective and efficient each time it interacts with people. If you want to see how AI customizes itself to you, you can talk to ai.
