Making the Leap to Specialized Intelligence
The future of AI isn't just about using smarter models. It's about building intelligence that understands your business.
Most companies start by renting intelligence from frontier AI labs. But as AI becomes central to their products, the limitations become harder to ignore: rising costs, inconsistent performance, limited control, and models that don't fully understand their domain.
So how do you make the leap from renting generic intelligence to owning specialized intelligence?
Join Sinan Ozdemir for a practical discussion on the four stages of becoming AI-native, and how to determine when it's time to move beyond off-the-shelf models.
What We'll Cover
Stage 1: Renting Frontier Models
Why most teams start with closed models, and the tradeoffs that come with relying on someone else's intelligence.
Stage 2: AI Engineering
How prompting, RAG, context engineering, and agent harnesses help extend model capabilities, and where they hit their limits.
Stage 3: Integrating Open Models
How to use evaluations, model routing, and open-weight alternatives to improve performance while reducing costs.
Stage 4: Training Specialized Models
When and why to train models around your proprietary data, workflows, and domain expertise to create intelligence you actually own.
Who Should Attend
AI engineers, developers, CTOs, technical founders, and teams building AI-powered products who want greater control over model performance, cost, and differentiation.
The Bottom Line
Stop renting intelligence that everyone else can access. Start building intelligence that makes your business different.
Join Alpha Signal and Fireworks AI to discover where you are on the journey to specialized intelligence, and what your next step should be.