Description
VerifAI's MultiLLM is an open-source Python framework enabling users to harness the power of multiple Language Model Models (LLMs) concurrently. By running several LLMs in parallel and ranking their outputs, VerifAI's MultiLLM seeks to identify the most precise results, otherwise known as the ground truth.
The primary application for MultiLLM is focused on comparing code produced by well-known LLMs such as GPT3, GPT5, and Google-Bard. However, this framework is adaptable to support new LLMs and allows for the customization of ranking functions to assess a wide array of outputs from different LLMs.
With its adaptable and flexible nature, VerifAI's MultiLLM allows users to gain dependable results for various tasks. Whether users need to request code or find answers to specific questions, MultiLLM leverages multiple LLMs at the same time and ranks their responses to deliver the most accurate and best-performing outcomes.
It's important to note that an individual LLM might occasionally give incorrect details about people, places, or facts. Therefore, by combining the outputs of multiple LLMs and comparing their results using VerifAI's MultiLLM framework, users can lower the risk of depending exclusively on potentially flawed information.
For those keen on further exploration, the MultiLLM framework is open-source and accessible on GitHub, with more information available in the VerifAI blog post associated with it.
