Episode description

Highlights from this week’s conversation include:

• Amr’s extensive background in data (3:23)
• The evolution of neural networks (9:21)
• The role of supervised learning in AI (11:17)
• Explaining Vectara (13:07)
• Papers that laid the foundation for AI (15:02)
• Contextualized translation and personalization (20:07)
• Ease of use and answer-based search (25:01)
• AI and potential liabilities (35:54)
• Minimizing difficulties in large language models (36:43)
• The process of extracting documents in multidimensional space (44:47)
• Summarization process (46:33)
• The danger of humans misusing technology (54:59)
• Final thoughts and takeaways (57:12)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.