.NET/F# Term: Machine-Learning

Discriminated Unions In Post-Transformer AI

The AI industry stands at an inflection point. As detailed in our “Beyond Transformers” analysis, the convergence of matmul-free architectures and sub-quadratic models will lead a fundamental shift in how we build and deploy AI systems. While the research community has demonstrated these approaches can match or exceed transformer performance with dramatically lower computational requirements, our investigation at SpeakEZ has uncovered an intriguing gap: Current tensor-only representations may not optimally capture the heterogeneous computational patterns these models require.