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Cleanlab Introduces the Trustworthy Language Model (TLM) that Addresses the Primary Challenge to Enterprise Adoption of LLMs: Unreliable Outputs and Hallucinations

 Cleanlab Introduces the Trustworthy Language Model (TLM) that Addresses the Primary Challenge to Enterprise Adoption of LLMs: Unreliable Outputs and Hallucinations

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Introducing the Trustworthy Language Model (TLM) by Cleanlab

While 55% of organizations are experimenting with generative AI, only 10% have implemented it in production, according to a recent Gartner poll. The main challenge hindering enterprise adoption of LLMs is their unreliable outputs and hallucinations, which lead to erroneous results and risks when deployed in real-world applications.

Practical Solutions and Value:

Cleanlab presents the Trustworthy Language Model (TLM), which addresses the primary challenge hindering enterprise adoption of LLMs: unreliable outputs and hallucinations. TLM integrates a trust score into each LLM response, empowering users to identify and control erroneous outputs, thus facilitating the deployment of generative AI in previously inaccessible scenarios. Extensive benchmarking demonstrates that TLM outperforms existing LLMs in accuracy while offering better-calibrated trustworthiness scores, leading to enhanced cost and time efficiency compared to alternative methods for managing LLM uncertainty.

The TLM API serves multiple purposes, offering practical solutions such as seamless replacement for existing LLMs, enhancing the accuracy of responses, and augmenting trust for outputs from existing LLMs or human-generated data. TLM operates by integrating a trust layer onto existing LLMs, allowing users to select from popular base models like GPT-3.5 and GPT-4 or augment any LLM with only black-box access to the LLM API. For enterprise needs, users can engage with Cleanlab directly.

The evaluation compares Cleanlab’s TLM to OpenAI’s GPT-4, focusing on response accuracy and cost/time savings. TLM’s trustworthiness score enhances trust in LLM outputs, detecting errors efficiently. TLM optimizes resource allocation by flagging low-scoring outputs for human review, ensuring robust decision-making. Significant cost savings have been observed from leveraging TLM.

In conclusion, Cleanlab’s Trustworthy Language Model (TLM) is an extensive solution to organizations’ challenges in deploying LLM applications. TLM signifies a significant advancement in the deployment of generative AI, paving the way for increased adoption & utilization in enterprise settings.

AI Integration and Adoption

If you want to evolve your company with AI, stay competitive, and leverage the Trustworthy Language Model (TLM), contact us at hello@itinai.com. Stay updated on AI insights through our Telegram t.me/itinainews or Twitter @itinaicom.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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