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[Practical AI] AI Trends: a Latent Space x Practical AI crossover pod!
Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0
The Unique Challenges for AI Engineers
I think there's this whole level of engineering and operations around prompts and chaining and data augmentation that is a real workflow. And I think part of something I'm really trying to explore is this spillover of AI from the traditional ML space, like where you need a machine learning researcher or machine learning engineer,. It's spilling over into the software engineering space. What do you think are the unique challenges for both groups?
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