Developments in the field of intellectual assistants have made strong progress in recent years. These are human helpers in performing tasks, such as the all-in-one AI platform for daily activities, including selecting products and services, browsing the Internet, or navigating while driving. Speech recognition and text synthesis techniques have reached a high level, enabling the development of assistants like Siri, Cortana, or Alexa.
The intelligent assistant requires prior training and configuration from external resources. This usually refers to automated database replenishment by textual and non-textual scripts. The user transmits the text to the assistant while searching queries through a software interface that is able to register various characteristics of the query. Among them are biometric data, psychological personality traits, and actions with the software interface.
Let’s learn about essential scripts of modern AI assistants, their strengths, and their future.
AI in the assistant software
Current virtual assistants work in multiple modes. They are usually able to select this mode automatically, based on a relevant dialog or search query. For example, any AI photo editor with prompt correction tools uses these algorithms in basic form. Here are these modes.
Chit-chats
In dialogue mode, the AI assistant supports a conversation on a free topic, responds to greetings, and asks about the user’s current mood. The assistant performs simple requests, such as telling a joke or giving out a weather forecast in any region of the planet. In this scenario, you will surely have recognized the working principle of ChatGPT.
Question-answer mode
In this case, the assistant finds an exact answer to the question that users ask, which can be given in natural language and in a free form. It is also a fairly simple mode that most advanced virtual assistants can provide. However, such an assistant should consider the user’s interests and mood.
The question-answer method is implemented in two steps:
- Semantic search of sentences by AI tools, which contain the answer to a given question.
- Selection of the fragment, which will be an exact answer to the user’s question.
Target-oriented dialogue
A target-oriented approach involves assistance in solving narrowly profiled tasks for humans. This mode takes into account the worldview of the particular AI and is closely dependent on the purpose of the particular software.
Future of AI assistants
Voice commands and reminders have become the basic set of functions in any advanced assistant. Their preventive role will help assistants provide an optimal work or weekend plan, considering the mood and health state of the user.
Experts believe that the virtual assistants of the future will be connected both with smartphones and smart homes on a new level. Medical services and finances will be supplemented by them as well. They will be able to politely and thoroughly manage the infrastructure, as well as provide an organic atmosphere and support.
Emotional intelligence will help upcoming AI tools to capture intonations, pauses, and emotional shades of human speech. This level of interaction will be able to create a sense of real dialogue, in which the emotionless algorithm becomes an aesthetic and empathetic partner.
Conclusion
There are plenty of options for virtual assistants, including chatbots with intellectual intelligence. This smart software differs from outdated analogues and has formalized knowledge about the surroundings and ways of solving particular tasks. In the future, developers will surely create highly cognitive assistants that will be able to scale daily activities on a new level using other innovative technologies.
