Indeed you can train that ai when you converse with ai. AI systems can learn by using large datasets and interacting with users and evolve through an evolving D machine learning. As pointed out by a report from 2023 by McKinsey & Company, more than three-fourths of AI models currently in use learn and become better performers as they see more data over time. As users cooperate with AI, they give suggestions, modify solutions or present extra records to the AI to analyze and get better too.
So, for example, virtual assistants viz — Alexa by Amazon or Siri by Apple get intelligent over time as they interact with more people. They learn from usersin preferences, speech patterns and commands. According to a 2022 research report (opens in new tab), the speech recognition accuracy of AI-based virtual assistants improved year-over-year by as much as 20% due to exposure to sizeable multimodal conversational data. It’s called reinforcement learning, where each interaction with users serves as a correction or reward that allows the AI to adjust its own responses.
A tangible example of conversational AI teaching can be found in the world of chatbots. For example, OpenAI’s constant feedback loop — every time an individual interacts with GPT-4, it’s cemented further into how language and context exists. They are pre-trained with sophisticated large-scale datasets, which makes them good enough to replicate a conversation between users; also by fine-tuning this enormous tropological dataset so that they respond appropriately. For example, when you say specific things such as “What’s the weather today?”, the AI learns from millions of similar questions to enhance its predictive accuracy.
As Elon Musk said, “AI is our highest priorities anything else”. It shows the massive potential of teaching AI to be better and more useful as time goes on by interacting with humans. That said, the AI in no way “learns” as people do. It can improve its processes and patterns—but it does not learn as human beings do.
Also Google and other companies used AI in some real-time decisions. With the introduction of AI, Google made the search engine learn everything it could from inputs every day including the ads and recommendations for users. More than that, Google executes more than 3.5 billion searches every day using those searches to enhance future outcomes with its AI.
talk to ai helps the algorithm learn, and so it becomes a better talkee. With ongoing engagements, you not only get the AI to recognize commands, it can also learn and grow through the context & information that has been fed to the users.