Large Language Models (LLM) hallucinations, a phenomenon where LLMs generate outputs that are coherent yet factually incorrect or nonsensical, have become a significant concern. As the use of LLMs continues to expand, addressing this issue head-on is crucial as it both causes your virtual assistant or co-pilot to give wrong answers, but is also expensive, as exemplified in this Stanford University paper FrugalGPT. Teneo offers a comprehensive solution for managing LLM hallucinations. In this article, we will explore five ways to use Teneo when dealing with LLM hallucinations, emphasizing its positive impact on addressing these challenges:
Prompt tuning
Teneo’s advanced language understanding capabilities together with its Teneo Linguistic Modeling Language (TLML) enables it to accurately identify and process LLM hallucinations, even when they appear in complex or ambiguous language patterns. This precision is essential for ensuring that individuals experiencing hallucinations receive appropriate assistance and support. For instance, Teneo allows you to control every input sent to your LLM, and the suggested prompt helps you reduce LLM hallucinations.
Controlled Personalized Responses
Teneo’s ability to generate personalized responses based on an individual’s unique experiences and circumstances sets it apart from other LLMs. This customization is particularly important when dealing with LLM hallucinations, as it allows for a tailored approach that addresses the specific needs of each user. By utilizing user data and adapting responses accordingly, Teneo can offer more accurate and relevant information, minimizing the risk of generating misleading content.
Use Your LLMs as a Fallback (to Reduce Costs and Hallucinations)
We have mentioned in previous articles how you can save costs up to 98% by using Teneo. Teneo enables users to create their own Q&A flows automatically, allowing you to use a predefined answer to respond to the most common questions. These questions can be based on your FAQ site and the questions users ask when they interact with your AI assistant. By doing this, you save costs by not prompting your LLM for the same questions repeatedly, essentially bypassing it and controlling your answers to the customers.
Use Teneo Inquire to Monitor Your Data
Teneo Inquire can be used to review each session you have had with your customers, showing both the questions asked and how your LLMs responded. With this information at hand, you can use low-performing queries to further optimize your LLM prompt. By continuously scanning for potential hallucinations, Teneo can help prevent the spread of false or misleading information, enhancing the credibility and trustworthiness of your LLM applications, and ensuring users receive accurate and reliable information.
Optimize Your AI Assistant with Teneo
With the data at hand, Teneo allows users to automatically utilize the data collected in Teneo Inquire to create flows that tackle similar use cases, giving you control over the output provided.
In conclusion, addressing LLM hallucinations is of paramount importance in today’s AI-driven world. Teneo offers a powerful and versatile solution for managing these challenges, providing businesses with the tools they need to ensure the reliability and accuracy of their AI applications.
By leveraging Teneo with your LLMs, you can effectively tackle LLM hallucinations and unlock the full potential of AI. Do not let LLM hallucinations hinder your progress – harness the power of Teneo today.