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047: The anatomy of a voice assistant, part 3 - Large language models (LLMs)
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It's the third in a series of technical deep dives for building IVAs, and for this episode, it's all about LLMs. Kylie chats with Shawn Wen, co-founder and CTO at PolyAI, who explains why LLMs can accomplish 70% of what’s needed for voice assistants, and more importantly: what's involved in the remaining 30%. The discussion touches on strategies to manage challenges through prompt engineering, dialogue management, and integrating third-party APIs, while highlighting the similarities between AI and human behavior. A look into cybersecurity and the future of specialized LLMs rounds out the conversation, offering insights for industry professionals navigating this evolving technology.
- Follow PolyAI on LinkedIn
- Watch this and other episodes of the Deep Learning pod on YouTube
View all episodes
By Team PolyAISend us Fan Mail
It's the third in a series of technical deep dives for building IVAs, and for this episode, it's all about LLMs. Kylie chats with Shawn Wen, co-founder and CTO at PolyAI, who explains why LLMs can accomplish 70% of what’s needed for voice assistants, and more importantly: what's involved in the remaining 30%. The discussion touches on strategies to manage challenges through prompt engineering, dialogue management, and integrating third-party APIs, while highlighting the similarities between AI and human behavior. A look into cybersecurity and the future of specialized LLMs rounds out the conversation, offering insights for industry professionals navigating this evolving technology.
- Follow PolyAI on LinkedIn
- Watch this and other episodes of the Deep Learning pod on YouTube