Do you want to reduce the error-rate of responses from OpenAI’s o1 LLM by over 20% and also catch incorrect responses in real-time?
These 3 benchmarks demonstrate this can be achieved with the Trustworthy Language Model (TLM) framework.
TLM wraps any base LLM to automatically: score the trustworthiness of its responses and produce more accurate responses.
As of today: o1-preview is supported as a new base model within TLM. The linked benchmarks reveal that TLM outperforms o1-preview consistently across 3 datasets.
TLM helps you build more trustworthy AI applications than existing LLMs, even the latest Frontier models.
Do you want to reduce the error-rate of responses from OpenAI’s o1 LLM by over 20% and also catch incorrect responses in real-time?
These 3 benchmarks demonstrate this can be achieved with the Trustworthy Language Model (TLM) framework.
TLM wraps any base LLM to automatically: score the trustworthiness of its responses and produce more accurate responses. As of today: o1-preview is supported as a new base model within TLM. The linked benchmarks reveal that TLM outperforms o1-preview consistently across 3 datasets.
TLM helps you build more trustworthy AI applications than existing LLMs, even the latest Frontier models.