ReaLLM adopts the latest LLMs from the market. From math, coding, to medical diagnosis and legal document processing, it's as capable as the best.
A deep integration with automated reasoning techniques ensures that the responses of LLMs are logically consistent and trustworthy. It's not about accuracy -- ReaLLM doesn't go wrong.
ReaLLM integrates a variety of formal methods and automated reasoning techniques, including program refinement, verification, first-order logic solving, with LLMs at different levels. This integration and interaction between the two technologies guides the LLM into making correct responses. Like the simplified view below.
In math reasoning benchmarks, it correctly solves 11% more problems than GPT4 + CoT, and more importantly, it doesn't give wrong answers!
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