Search Challenges and Strategies for AI Models

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Exploring the complexities of search algorithms, this chapter covers topics such as combating information hallucinations, improving retrieval accuracy, and optimizing database structures for efficient search. It highlights the importance of integrating various techniques like embeddings and retrieval algorithms for effective web search, emphasizing the need for a balanced approach in AI model usage.

Arvind Srinivas is CEO of Perplexity, a company that aims to revolutionize how we humans find answers to questions on the Internet. Please support this podcast by checking out our sponsors:
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Transcript: https://lexfridman.com/aravind-srinivas-transcript

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(10:52) – How Perplexity works
(18:48) – How Google works
(41:16) – Larry Page and Sergey Brin
(55:50) – Jeff Bezos
(59:18) – Elon Musk
(1:01:36) – Jensen Huang
(1:04:53) – Mark Zuckerberg
(1:06:21) – Yann LeCun
(1:13:07) – Breakthroughs in AI
(1:29:05) – Curiosity
(1:35:22) – $1 trillion dollar question
(1:50:13) – Perplexity origin story
(2:05:25) – RAG
(2:27:43) – 1 million H100 GPUs
(2:30:15) – Advice for startups
(2:42:52) – Future of search
(3:00:29) – Future of AI