Cleanlab’s Trustworthy Language Model tackles Enterprise LLM challenges. #ReliableLLM

Cleanlab has developed the Trustworthy Language Model (TLM) to address the challenges faced by organizations deploying Language Models (LLMs) in production. LLMs often produce erroneous outputs, known as hallucinations, which hinder their utilization in applications requiring accurate results. TLM integrates a trust score into each LLM response, allowing users to identify and control unreliable outputs. This feature enhances the accuracy and trustworthiness of LLM outputs, making them suitable for a wider range of applications. The TLM API can replace existing LLMs, generate multiple responses to select the most trustworthy one, and enhance trust in human-generated data. The evaluation of TLM against OpenAI’s GPT-4 shows improved response accuracy and cost/time savings. By flagging low-scoring outputs for human review, TLM optimizes resource allocation and ensures robust decision-making. Cleanlab’s TLM is a significant advancement in deploying generative AI, enabling more accurate and dependable outputs while addressing the reliability issues associated with hallucinations. With its ability to augment existing LLMs and enhance trust in various applications, TLM paves the way for increased adoption and utilization of generative AI in enterprise settings.

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Source link: https://www.marktechpost.com/2024/04/28/cleanlab-introduces-the-trustworthy-language-model-tlm-that-addresses-the-primary-challenge-to-enterprise-adoption-of-llms-unreliable-outputs-and-hallucinations/?amp