Denis Yarats, Co-founder & CTO at Perplexity, discusses their AI-driven answer engine improving info retrieval accuracy. The podcast delves into the challenges in search engines, the use of large language models, and future trends in AI-driven decision-making.
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Quick takeaways
Pairing language models with Knowledge Graphs enhances answer accuracy.
Perplexity balances general and specialist models for optimized query responses.
Perplexity envisions a future of decision-making and automated actions based on retrieved data.
Deep dives
The Evolution of Language Models and the Importance of Reliable Data
Language models like chat GPT are powerful but can face issues like hallucination unless grounded in reliable current data. Pairing language models with Knowledge Graphs has shown promise in enhancing the accuracy of generated answers.
From Academic Research to Founding Perplexity: Developing an Answer Engine
Perplexity's journey from academia to a startup was motivated by advancements in GPT models. The founders navigated skepticism to create a prototype that showcased the helpfulness of their search engine in real-world scenarios.
Balancing General Models and Specialist Models in Developing an Answer Engine
Perplexity focuses on balancing general models' capabilities with specialist models to optimize accuracy and speed in answering user queries. By integrating various models into their infrastructure, Perplexity aims to provide users with tailored responses.
Perplexity envisions a future beyond chat interfaces for interacting with AI, focusing on generative UI that facilitates multiple interaction modes like voice commands and buttons. The company aims to innovate in UI/UX design to enhance user experience across diverse scenarios.
The Future Vision of Perplexity: Advanced Decision Making and Actionable Insights
Perplexity aims to advance from information retrieval to decision-making and automated actions based on retrieved data. The vision includes simplifying complex tasks like product research by offering concise pros and cons summaries and facilitating seamless decision-making and purchasing processes for users.
Daniel & Chris sit down with Denis Yarats, Co-founder & CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.
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