Interviews with the best brains in AI, sharing how to improve customer experience and business operations using emerging AI technologies such as voice AI, conversational AI, NLP, Large Language Models (LLMs), generative AI and more.
We educate business leaders and teams on why and how AI technologies are revolutionising the way consumers engage with businesses and the internet, why that matters and how to implement it properly.
“One of the most consistently insightful and deeply respected podcasts in the industry”
Bradley Metrock, Score Publishing
Hosted on Acast. See acast.com/privacy for more information.
Interviews with the best brains in AI, sharing how to improve customer experience and business operations using emerging AI technologies such as voice AI, conversational AI, NLP, Large Language Models (LLMs), generative AI and more.
We educate business leaders and teams on why and how AI technologies are revolutionising the way consumers engage with businesses and the internet, why that matters and how to implement it properly.
“One of the most consistently insightful and deeply respected podcasts in the industry”
Bradley Metrock, Score Publishing
Hosted on Acast. See acast.com/privacy for more information.
In this episode, Kane Simms is joined by Katherine Munro, Conversational AI Engineer at Swisscom, for a deep dive into what might sound like an odd pairing: using LLMs to classify customer intents.
Large Language Models (LLMs) are powerful, multi-purpose tools. But would you trust one to handle the precision of a classification task?
It’s an unlikely fit for an LLM. Classifiers typically need to be fast, accurate, and interpretable. LLMs are slow, random black-boxes. Classifiers need to output a single label. LLMs never stop talking.
And yet, there are good reasons to use LLMs for such tasks, and emerging architectures and techniques. Many real-world use cases need a classifier, and many data and product development teams will soon find themselves wondering: could GPT handle that?
If that sounds like you, then check out this extended episode to explore how Switzerland’s largest telecommunications provider tackles this issue while building a next-generation AI assistant.
This episode is brought to you by NLX.
NLX is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines.
Shownotes:
"The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics" - Available on Amazon: https://a.co/d/3wNN9cv
Katherine's website: http://katherine-munro.com/
Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW
Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms
Get in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/
Hosted on Acast. See acast.com/privacy for more information.