High Agency: The Podcast for AI Builders Inventing the AI Engineer
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Jun 25, 2024 Shawn Wang discusses the essence of an AI engineer post his viral essay 'Rise of the AI Engineer', emphasizing skills, team structures, and trends in AI research. Topics include vertical vs. horizontal AI startups, advice for AI product creators, tools for AI products, and key AI trends. The conversation explores the evolution of roles in AI engineering, the AI Engineering World Fair, vertical AI startups, trends in AI capabilities and costs, and the creativity in AI models.
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Bridging the Gap: The Rise of the AI Engineer
- The AI Engineer role bridges the gap between ML Engineers and product development.
- It addresses the growing need for professionals skilled in applying AI, especially with the rise of foundation models.
0-to-1 vs. 1-to-n: AI Engineer vs. ML Engineer
- AI Engineers focus on the 0-to-1 phase of product development, quickly applying existing models.
- ML Engineers concentrate on the 1-to-n phase, refining models with extensive data and rigorous optimization.
Team Composition for AI Products
- Structure AI product teams with a higher ratio of AI Engineers to ML Engineers (e.g., 4:1).
- This setup allows AI Engineers to handle product-focused tasks, freeing ML Engineers for model work.