Part 3/13:
Mig stressed that as AI moves towards more integrated, multi-modal applications, deploying a single model isn't enough; instead, scalable, flexible inference infrastructure becomes crucial.
Real-World Applications
The webinar showcased diverse deployments demonstrating complex AI workflows:
Talking Kiosk Example: An AI-driven food ordering terminal employs multiple models:
Computer vision tracks facial gestures and eye movement.
Automatic Speech Recognition (ASR) transcribes spoken queries.
NLP engines facilitate conversational dialogue about menus and orders.
Text-to-Speech (TTS) converts responses into natural-sounding speech.
Animated characters respond interactively, creating an end-to-end customer experience.