Latent Space: The AI Engineer Podcast [Practical AI] AI Trends: a Latent Space x Practical AI crossover pod!
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Jul 2, 2023 In this engaging discussion, Dan Whitenack, a data scientist with a PhD in mathematical and computational physics and co-host of Practical AI, dives into the evolution of AI and podcasting. He shares personal anecdotes about their journey, favorite episodes, and the importance of understanding AI's historical context. The conversation shifts to implementing AI in low-resource settings, the creation of PredictionGuard, and the critical role of user experience in AI application adoption. With insights on the unique challenges faced by both engineers and data scientists, it's a lively exploration of today's AI landscape.
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Dan's Background
- Dan Whitenack's background is in mathematical and computational physics.
- He worked at SIL International, focusing on low-resource AI scenarios, like machine translation for unsupported languages.
Practical AI Origin
- Practical AI podcast started with a conversation between Dan Whitenack and Adam Stachowiak.
- It evolved from an idea about a data science podcast to focus on practical applications of AI.
Enterprise AI Challenges
- Enterprises feel pressured to integrate generative AI, but struggle with practical implementation beyond demos.
- They need to address compliance, data privacy, and output structuring in robust systems.