Transforming Search with Perplexity AI’s CTO Denis Yarats
Jun 20, 2024
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CTO of Perplexity, Denis Yarats, discusses transforming search engines using AI, challenges in search technology evolution, model preferences, balancing speed and quality, role of prompting in language models, providing unbiased answers, and founding principles of tech companies.
Perplexity AI utilizes advanced search engine and LLMs to provide precise answers.
Development of in-house classical search engine with unique content ranking system.
Perplexity offers diverse model options to combat SEO spam and prioritize user trust.
Deep dives
Perplexity: A Leading Gen AI Application
Perplexity emerges as a top Gen AI app, focusing on providing fast and high-quality answers through advanced search engine and large language modeling technology. Initially leveraging third-party APIs, Perplexity transitioned to in-house infrastructure, utilizing cutting-edge models like GPT-4 and Opus for exceptional results.
Building an In-house Search Engine
Perplexity's journey involved developing an in-house classical search engine, complete with crawling and indexing capabilities. Emphasizing quality content retrieval, Perplexity invested in developing a content ranking system, distinct from traditional search engines, to enhance user experience and provide accurate responses.
Model Diversity and Customization
Perplexity offers users the option to choose models from various providers or opt for in-house models, distinguishing it from standard AI applications. The ability to select different models underpins Perplexity's unique features, granting users diverse options for enhanced performance.
Improving Ranking and Content Quality
With a focus on combating SEO spam, Perplexity prioritizes trustworthiness, using metrics like reputation and content quality to refine ranking algorithms. By infusing the system with diverse perspectives through effective LLM mechanisms, Perplexity aims to provide unbiased and reliable information to users.
Optimizing Latency and Quality Balance
Navigating the trade-off between latency and quality, Perplexity employs default and pro search modes to cater to user preferences. Balancing rapid responses for simpler queries with higher quality outputs for complex inquiries, the system adapts compute allocation based on query complexity to enhance user satisfaction.
In this episode of Gradient Dissent, Denis Yarats, CTO of Perplexity, joins host Lukas Biewald to discuss the innovative use of AI in creating high-quality, fast search engine answers.
Discover how Perplexity combines advancements in search engines and LLMs to deliver precise answers. Yarats shares insights on the technical challenges, the importance of speed, and the future of AI in search.
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