Interactive AI

GenAI* and large language models (LLMs*) work behind the scenes to learn, adapt, apply context, and offer personalized responses to user queries. Interactive AI interprets not only text and images, but also human gestures and speech to help machines respond to human behavior. Analyzing hand gestures and voice commands makes the back-and-forth interactions between people and systems more natural and seamless.

Gestures:

• Gestures range from simple hand movements (like swiping and pinching to zoom) to more complex movements (like waving, pointing, or facial expressions)
• Monitored via motion sensors, cameras, or wearable devices to detect movement
• AI algorithms analyze the gestures to understand intent and execute a response

Speech:

• Spoken commands, questions, and conversations are analyzed using natural language processing and speech recognition
• Interactive AI identifies tone, context, and semantics to formulate a response
• Advanced systems can even respond to individual voices and accents

People often don’t know that LLMs do a lot behind the scenes to create what appears to be an instantaneous response. Prompt interception is the term for this analysis that guides context and determines how to respond to a question appropriate, accurately, etc.
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Definitions:

• GenAI is AI that generates content, images, music, and videos.  
• LLMs are a subset of GenAI that take human speech or input and translate the output back to human speech or writing. Almost all LLMs are used for Interactive AI.  

Unlike a simple chat with a friend, AI chatbot interactions involve complex, behind-the-scenes processes. It's not just a direct path from your question to the AI's answer.  

AI chatbots can have “hidden hands” (known as prompt interception) that guide their responses and ensure LLMs behave properly and answer appropriately and accurately.

Hidden hands are lines of code and processes that act as filters, check for inappropriate input or output, clarify intent, consult data sources, and select pre-written responses or generate new responses based on your input.  

Most importantly, you can implement safeguards to ensure factual accuracy, improve security, prevent biased responses, and comply with regulations. The hidden hands ultimately contribute to improved accuracy, a more natural user experience, and responsible AI that avoids generating harmful or biased content.