AI21 Labs has introduced a groundbreaking tool called ‘Contextual Answers,’ a question-answering engine for large language models (LLMs). This engine is designed to enhance the functionality of LLMs by enabling users to upload their data libraries, helping to eliminate hallucinations in GPT systems.
The launch of ChatGPT and similar AI products has brought significant advancements to the AI industry. However, a critical challenge businesses face considering adopting such technologies is the issue of trustworthiness.
‘Contextual Answers’ addresses this challenge by allowing users to input their own data libraries. Through this, the engine ensures that the LLM outputs responses that align with the provided documentation, enhancing the relevance and accuracy of the information provided.
In cases where the model lacks relevant information, it will refrain from generating responses altogether, thereby mitigating the risk of misleading or inaccurate outputs.
Image Credit: Koshiro K
