Generative reasoning, multimodality, and model-driven cognition.
Generative AI is the second half of the intelligence layer of Neuroide. This topic covers generative models, reasoning systems, multimodality, orchestration, observability, and the engineering trade-offs involved in turning learned models into decision tools and interactive systems.
Reasoning
Search, tool use, verifier-guided inference, structured workflows, and adaptive compute.
Generation
Autoregressive models, diffusion, latent-variable generation, controllability, and sampling behavior.
Multimodality
Vision-language systems, cross-modal grounding, retrieval, and generative interfaces.
Systems
Serving, orchestration, evaluation, observability, and product-level engineering trade-offs.