Notas del episodio
In this follow-up conversation, Fabio de Almeida returns to the Get Discovered podcast to dive deeper into the real, often overlooked costs of AI systems.
Beyond the hype and promise of efficiency, Fabio zeroes in on the data: how LLMs source it, what’s included (and excluded), and why it matters. He breaks down the financial, operational, and social implications that both users and companies should understand before scaling AI adoption.
Building on Part One, this episode moves from theory to practice, revealing what leaders don’t know they don’t know about data quality, model training, and the long-term sustainability of AI.
What to expect from this episode:
- The data behind AI systems
- What data LLMs are trained on
- How to manage and protect your perso ...
Palabras clave
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