Data and AI Evolution
Suhas discusses the evolution of machine learning, emphasizing the critical roles of data volume and processing power in developing advanced models. He highlights the maturity of conversational AI, particularly in intent classification and slot filling, while also noting ongoing challenges in understanding context. The rise of transformer models is paving the way for more nuanced interactions, showcasing the potential for deeper understanding in AI communications.In this clip
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The AI Podcast
Speaking the Same Language: How Oracle’s Conversational AI Serves Customers - Ep. 104
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