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Machinelearning and artificial intelligence have revolutionized our interactions with technology, mainly through speech recognition systems. At the core of these advancements lies voice data, a crucial component for training algorithms to understand and respond to human speech.
Non-conversational applications offer unique advantages such as higher latency tolerance, batch processing, and caching, but their autonomous nature requires stronger guardrails and exhaustive quality assurance compared to conversational applications, which benefit from real-time user feedback and supervision. Puneet Sahni is Sr.
AI Chatbots The banking sector has started to use AI and ML (machinelearning) significantly, with chatbots being one of the most popular applications. On the other hand, conversational AI that acts as a personal assistant can help with data input without the requirement of typing everything manually.
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