How can business help solve society’s biggest challenges? Welcome to Series 3 of Take on Tomorrow, the award-winning podcast from PwC that examines the biggest problems facing society and the role business can—and should—play in solving them. This series, we’re welcoming broadcaster and journalist Femi Oke to the show. She joins podcaster and journalist Lizzie O’Leary, and together with industry innovators, tech trailblazers and visionary leaders from around the globe, they’ll explore timely ...
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محتوای ارائه شده توسط RWS. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط RWS یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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AI Dialogues: humans vs. LLMs’ language learning
Manage episode 380740999 series 1528649
محتوای ارائه شده توسط RWS. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط RWS یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
It’s completely natural for humans to attribute human characteristics to generative AI systems that seem to behave like us. And since language is one of the most profoundly human characteristics on earth, it explains why we tend to compare LLMs like GPT or PaLM (Bard) to humans, and even attribute emotions to them. But in the same way that we don't expect an airplane to flap its wings like a bird, or a submarine to swim by using wave-like movements like a fish, it's important to remember that LLMs do not use language the way humans do. They are an immensely useful invention to generate language but are blind to experiences that aren't encoded in language and have no true emotional understanding. Listen to this fascinating discussion between Vasagi Kothandapani, Bart Maczynski and Marina Pantcheva in our latest Globally Speaking Podcast episode and learn all about the fundamental differences between language learning in LLMs and humans and how we can encode ethics in AI.
…
continue reading
179 قسمت
Manage episode 380740999 series 1528649
محتوای ارائه شده توسط RWS. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط RWS یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
It’s completely natural for humans to attribute human characteristics to generative AI systems that seem to behave like us. And since language is one of the most profoundly human characteristics on earth, it explains why we tend to compare LLMs like GPT or PaLM (Bard) to humans, and even attribute emotions to them. But in the same way that we don't expect an airplane to flap its wings like a bird, or a submarine to swim by using wave-like movements like a fish, it's important to remember that LLMs do not use language the way humans do. They are an immensely useful invention to generate language but are blind to experiences that aren't encoded in language and have no true emotional understanding. Listen to this fascinating discussion between Vasagi Kothandapani, Bart Maczynski and Marina Pantcheva in our latest Globally Speaking Podcast episode and learn all about the fundamental differences between language learning in LLMs and humans and how we can encode ethics in AI.
…
continue reading
179 قسمت
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