Practical AI: Machine Learning, Data Science, LLM cover image

Practical AI: Machine Learning, Data Science, LLM

The perplexities of information retrieval

Jun 19, 2024
46:08
Snipd AI
Denis Yarats, Co-founder & CTO at Perplexity, discusses their AI-driven answer engine, highlighting its accuracy and validation. They explore the deficiencies in search engines and how Perplexity's approach improves information retrieval. The podcast delves into the challenges of search engine systems and the advancements in generative AI for accurate responses to user queries.
Read more

Podcast summary created with Snipd AI

Quick takeaways

  • Pairing LLMs with Knowledge Graphs improves answer reliability.
  • Perplexity focuses on accuracy and speed for trustworthy information retrieval.

Deep dives

Enhancing Large Language Models with Knowledge Graphs and Vector Search

Utilizing Large Language Models (LLMs) like GPT for answering queries can present challenges such as hallucinations and accuracy issues. Neo4j explores pairing LLMs with Knowledge Graphs and Vector Search to provide reliable answers. By grounding LLMs in current and contextually appropriate data, such as with citations, accurate responses can be generated, enhancing the utility of these models.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode