Latent Space: The AI Engineer Podcast From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai
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Mar 10, 2023 In this conversation, Sarah Nagy, founder of Seek.ai and former astrophysicist, dives into the fascinating world of AI and data. She explains how Seek.ai empowers non-technical users to access insights effortlessly, transforming data querying with natural language interfaces. The discussion touches on the interplay between improv and AI in crafting responses, the significance of the semantic layer for better data management, and the evolving demands in the data engineering space. Sarah also shares her predictions for rapid advancements in AI productivity tools.
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Data Backfitting Example
- A sell-side research analyst manipulated data's hyperparameters to fit a pre-existing thesis.
- This highlights the risk of misusing data to confirm biases instead of uncovering truth.
AI for Automation
- AI excels at automating manual, time-consuming tasks.
- Focus on using AI for these tasks instead of trying to replace entire roles.
Precise Code Generation
- Generating precise code with AI for data querying is challenging.
- Seek.ai uses a combination of AI code generation, guardrails, and other techniques to address this.