A two-stage pipeline using Amazon Nova 2 Lite for structured extraction and Claude Sonnet 3.5 for spatial reasoning reduces document digitization costs by two-thirds.
Gemma 4 12B integrates text and vision capabilities in a single, encoder-free architecture, reducing deployment complexity while improving resource efficiency.
Gemma 4 12B runs on standard laptops with 16 GB RAM and enables local API endpoints via the LiteRT-LM CLI for agent-driven workflows without cloud dependency.
