Kobie Crawford
Developer Advocate at Snorkel.AI. Focuses on the intersection of programmatic data generation, weak supervision, and efficient large language model deployment.
Key Contributions & Perspectives
- Paradigm Shift in AI Development: Advocates for “Stop Making Models Bigger. Make Them Behave,” arguing that behavioral control and disciplined tool use are more critical than raw parameter scale for enterprise utility Training Smaller Models for Disciplined Tool Use in Enterprise AI.
- Small Model Efficiency: Proponent of training smaller, specialized models for specific tasks rather than relying on monolithic general-purpose architectures. Emphasizes that disciplined tool use can bridge the capability gap between small and large models.
- Enterprise AI Integration: Highlights the importance of reliability and deterministic behavior in enterprise settings, where hallucination costs outweigh marginal gains from model size increases.