Send us a text In this episode of Deep Learning with PolyAI, Michelle Schroeder sits down with Dom Nicastro, Editor-in-Chief at Simpler Media Group and longtime journalist covering CX, content, and enterprise tech. Dom has spent years watching AI reshape newsrooms — and he sees striking parallels with what CX leaders are facing today. Journalists and CX teams share the same challenge: cutting through hype, spotting “AI slop,” and building trust through accuracy, governance, and human judgment...
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Send us a text In this episode of Deep Learning with PolyAI, Michelle Schroeder sits down with Dom Nicastro, Editor-in-Chief at Simpler Media Group and longtime journalist covering CX, content, and enterprise tech. Dom has spent years watching AI reshape newsrooms — and he sees striking parallels with what CX leaders are facing today. Journalists and CX teams share the same challenge: cutting through hype, spotting “AI slop,” and building trust through accuracy, governance, and human judgment...
073: What are everyday people using LLMs for, really?
Deep Learning with PolyAI
21 minutes
7 months ago
073: What are everyday people using LLMs for, really?
Send us a text Damien and Nikola are back to discuss the transformative impact of generative AI in our everyday lives. The conversation covers everything from the rise of LLMs in personal development and therapy to DIY projects and coding. Discover how generative AI is reshaping industries, solving everyday problems, and why it's gaining traction in fields like legal services and medical advice. as well as future applications of AI. Follow PolyAI on LinkedIn Watch this and other episodes of t...
Deep Learning with PolyAI
Send us a text In this episode of Deep Learning with PolyAI, Michelle Schroeder sits down with Dom Nicastro, Editor-in-Chief at Simpler Media Group and longtime journalist covering CX, content, and enterprise tech. Dom has spent years watching AI reshape newsrooms — and he sees striking parallels with what CX leaders are facing today. Journalists and CX teams share the same challenge: cutting through hype, spotting “AI slop,” and building trust through accuracy, governance, and human judgment...
