Part 6/7:
Transitioning back to our poker analogy—the “river card” represents a critical moment where players can gauge their chances before committing further chips. In AI, this correlates to "fine-tuning" existing models instead of starting from scratch. By utilizing pre-trained models and adapting them to specific needs, smaller startups can innovate at a significantly reduced risk level; effectively playing the last card rather than betting blind.
To illustrate, the speaker highlights their success in generating AI avatars, leveraging existing technologies and minimizing personal involvement to produce content en masse. This showcases that successful AI applications can emerge from optimizing and innovating on existing frameworks instead of developing entirely new systems.