OptiLM Research

Research notes and exploration across AI, robotics, science and useful new systems.

How Prism brings models together

Prism-1 and Prism-2 combine third-party AI models with routing, context handling and answer-fusion software developed by Optifusion. Models from providers such as Anthropic and OpenAI generate the underlying responses; optional Google support can add a visual specialist when configured. Prism is not a separate foundation model trained by Optifusion.

We use the name Adaptive Fusion for this workflow. In Prism-1, + efforts add a multi-draft fusion pass. Prism-2 generates independent drafts, combines their useful contributions and adds a separate review at Advanced efforts. Auto chooses from eligible models and reasoning efforts within the user’s plan, capabilities and remaining allowance.

The aim is a useful balance of answer quality, speed and cost. Agreement between models is not proof that an answer is correct. We distinguish design goals from measured results and do not claim that fusion always outperforms an individual model.

Research Mission

OptiLM is growing toward an ecosystem of useful tools. Research covers AI architecture, learning, robotics, autonomous systems, life sciences and other ideas that could improve those tools. Current subscription benefits are described on the pricing page; a research topic or future concept is not a promise of an available product.

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