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Seek.ai Co-Founder Discusses AI Data Stack on Latent Space Podcast

By PulseAugur Editorial · [1 sources] ·

Sarah Nagy, co-founder of Seek.ai, discussed the development of an AI data stack on the Latent Space Podcast. The conversation touched upon the challenges and opportunities in building infrastructure for AI development, drawing parallels from Nagy's background in astrophysics. The focus was on creating tools and systems that can effectively manage and process the vast amounts of data required for training and deploying advanced AI models. AI

IMPACT Provides insights into the infrastructure needs for AI development and data management.

RANK_REASON Podcast discussing AI infrastructure and company background.

Read on Latent Space Podcast →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Seek.ai Co-Founder Discusses AI Data Stack on Latent Space Podcast

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Commentary
Podcast discussing AI infrastructure and company background.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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infra, opinion
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High
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1333 days old
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COVERAGE [1]

  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai

    <p>If Text is the Universal Interface, then Text to SQL is perhaps the killer B2B business usecase for Generative AI. You may have seen incredible demos from Perplexity AI, OSS Insights, and CensusGPT where the barrier of learning SQL and schemas goes awa...</p>

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