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10min chapter
#434 – Aravind Srinivas: Perplexity CEO on Future of AI, Search & the Internet
Lex Fridman Podcast
Customizing Large Language Models in Perplexity and Importance of Low Latency in AI Systems
The chapter highlights customizing the large pre-trained language models in Perplexity with models like GPT-40 and LAMA-3, emphasizing speed advantages over cloud models and ongoing efforts to enhance performance for complex queries. It discusses the importance of being model agnostic in AI product development to provide optimal answers regardless of the model used, focusing on low latency inspired by Google's tail latency concept. Additionally, it explores the complexities of managing latency and scaling compute capacity in startups, including considerations for in-house compute versus cloud solutions and the competition among cloud service providers like AWS, Google Cloud, and Azure.
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