Mentat API: Runtime Intervention for Deterministic LLM Control
By
cgorlla
Sesame, salt, and substance. A flagship bake.
Summary
Mentat is a new API from CTGT that provides developers with deterministic control over LLM behavior through runtime intervention. The technology uses feature-level intervention and graph-based verification to steer AI reasoning, remove bias, fix hallucinations, and enforce policies without requiring fine-tuning or relying on brittle prompt engineering. The solution targets regulated industries and high-risk AI applications where incorrect outputs could have significant consequences, such as finance, healthcare, and legal domains.
Key quotes
· 4 pulledan API that gives developers deterministic control over LLM behavior, steering reasoning and removing bias on the fly
without the compute of fine-tuning or the brittleness of prompt engineering
We use feature-level intervention and graph-based verification to fix hallucinations and enforce policies
This resonates in highly regulated industries or otherwise risky applications of AI where the fallout from incorrect or underperforming output can be significant
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