
Interfaze: A Hybrid Architecture for High-Accuracy Deterministic AI
Interfaze is a hybrid AI model that merges DNN precision with transformer flexibility to outperform generalist LLMs in high-accuracy, deterministic tasks.
Techniques and tools for making LLMs reliably generate structured data formats like JSON, using grammars, schemas, token masking, and constrained decoding.

Interfaze is a hybrid AI model that merges DNN precision with transformer flexibility to outperform generalist LLMs in high-accuracy, deterministic tasks.
Developers should prioritize on-device AI over cloud APIs to create more private, reliable, and cost-effective software.

The Prompt API enables web developers to integrate Gemini Nano for on-device, multimodal AI processing directly within the Chrome browser.

A TypeScript library for robust, LLM-powered web data extraction and browser automation.
Use efficient sampling plus grammar constraints to guarantee format today, but expect models to natively emit structured outputs tomorrow—especially when you let them think first, then constrain.