Practical AI The perplexities of information retrieval
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Jun 19, 2024 Denis Yarats, co-founder and CTO of Perplexity, dives deep into the world of AI-driven information retrieval. He highlights the shortcomings of traditional search engines and reveals how Perplexity aims to enhance accuracy and validation. The conversation explores the challenges of integrating large language models for real-time data access and the importance of verifying generated content. Denis also shares insights on future innovations in user experience design and the potential for AI to improve decision-making by synthesizing information into actionable insights.
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The Need for Direct Answers
- People want direct answers to their questions, not just relevant documents.
- Traditional search engines only offer the latter, requiring further user effort.
Perplexity's Origin Story
- Denis Yarats and Aravind Srinivas, both from academic backgrounds, saw the potential of LLMs early on.
- Their initial Perplexity prototype was a Slack/Discord bot combining search and early GPT models.
Citations and ChatGPT's Impact
- Early Perplexity versions prioritized citations due to the founders' academic background and focus on accuracy.
- The release of ChatGPT further highlighted the need for verifiable information, leading to Perplexity's public launch.