Domain-Specific AI Training at Scale: Lessons from Telecom

This webinar examines the shift from general-purpose large language models to domain-specific AI training, using telecom as a case study. Panelists from AT&T, TensorWave, and AMD discuss how organizations with specialized datasets can achieve better cost, latency, and accuracy by training smaller, purpose-built models rather than relying solely on frontier models.

Видео Domain-Specific AI Training at Scale: Lessons from Telecom канала Jared Harris