Chatbot Framework Endeavors to Widen the Scope of AI
We live in a day and age where people can talk to their smart devices. Whether using a tablet, smartphone, or even a traditional computer a person can speak to the device and the device will answer. Ask a question and the device provides an answer, make a quip and the device responds with a snappy comeback. This is not because the device is alive and talking to you, it is because a programmer has built a platform of responses the chatbot can use. This is the industry term for the responding software.
Chatbots are programs designed to carry on conversations with users by responding to directed prompts. Any prompts not recognized by the bot deliver a standard confused, “Can you repeat what you said in a way I can understand” response. Mostly chatbots facilitate searches, allow hands free use of smart devices, and manage at home services. For consumers this constitutes the factory installed AI that comes with their smartphone, table, and/or laptop, as well as smart speaker. The tech is quite revolutionary and humanizes the software quite a bit. However, there are still more heights to be attained. This is where chatbot framework comes into play.
Chatbot framework codes the platforms that initialize a talking robot. These robots are not necessarily physical instruments but rather a digital presence. Their job is to act as a guide, a virtual assistant that aids users in the place of an actual person. This helps companies with customer service overflow, allowing customers with simple problems receive immediate solutions. Instead of bogging down a real person, who is better used for more complex problems. The framework consists of the commands, voice prompts, that are programmed into the bot to provide the appropriate response. Many times, the bot will even tell you what to say. In these cases, the framework is restricted. AI technology that goes into smart speakers contains a wider net of possible responses.
Smart speakers are used to play music, provide answers to questions, set timers, record messages, and set reminders. Some even integrate with other technology to control functions within the house. In such cases the AI requires a broader framework of commands, so it can provide responses. This is usually activated by a key word such as “play” or “remind”. The goal for most programmers developing chatbox tech is for a the bot to be indistinguishable from a human. This afford an unlimited amount of uses for that conversational robot.
At present this is a long way off. Evidence of how far away such tech is can be witnessed when AI’s talk to each other. The parodied conversations quickly descend into nonsense of madness, but the potential is there. For now, chatbots are relegated to one off answer for customer queries. An actual live person is still required for more complex issues. The advantages created so far ensure drivers can communicate safely, allow better diagnostic checks for hardware, and strengthen the span of the Internet of Things.