Infinite Curiosity Pod with Prateek Joshi LLM-infused search, Why LLMs hallucinate, Grounded Generation | Amr Awadallah, cofounder and CEO of Vectara
Jun 19, 2023
Amr Awadallah, CEO of Vectara and former founder of Cloudera, shares insights on the evolution of search engines and the revolutionary role of LLMs in conversational AI. He tackles the hallucination issue in LLMs and introduces grounded generation as a potential solution for improving accuracy. The discussion also delves into the importance of understanding user intent and data security for companies leveraging AI. Amr highlights exciting ventures in generative AI and provides guidance for entrepreneurs on focusing on real-world applications.
AI Snips
Chapters
Books
Transcript
Episode notes
Meaning vs. Keyword Search
- Legacy search relies on keyword matching like a book index, which misses the actual meaning behind queries.
- Modern search focuses on "meaning search," understanding user intent beyond exact words.
How LLMs Enhance Search
- Large language models (LLMs) transform words into internal meaning representations, enabling conversational search.
- They predict next words based on context, improving response relevance unlike classic keyword search.
Why LLMs Hallucinate
- LLMs compress massive information into smaller representations, leading to occasional hallucinations or fabricated responses.
- This happens because reconstructing compressed knowledge isn't always perfect, similar to imperfect human memory recall.
