Are you exhausted from attempting to verify the accuracy of information provided by individual models? Are you in search of a reliable way to compare code produced by different language models? Look no further! VerifAI's MultiLLM is here to make your life easier.

What is MultiLLM?

MultiLLM is an AI-powered tool that removes the guesswork out of evaluating the accuracy and reliability of information generated by language models. Whether you need to verify facts about people, places, or the code produced by different language models, MultiLLM has got you covered.

How does it work?

MultiLLM uses a Python open-source framework that invokes multiple language models in parallel and ranks their outputs to find the best results, also known as ground truth. This means that instead of relying on a single model, MultiLLM leverages the power of multiple language models to ensure that you get the most accurate and reliable information possible.

What can it be used for?

The primary use case of MultiLLM is comparing code produced by different language models such as GPT3.5 and Google-Bard. However, the versatility of MultiLLM doesn't end there. This tool can be extended to support new language models and custom ranking functions, allowing you to evaluate a variety of outputs from different language models.

Pros and Cons


  • Eliminates the risk of relying on inaccurate information from individual language models.
  • Allows for comparison of code and outputs from multiple language models.
  • Customizable to support new language models and ranking functions.


  • Requires some technical knowledge to set up and use effectively.
  • May require familiarity with Python for customization and extension.


With VerifAI's MultiLLM, you can dismiss the uncertainty of relying on a single language model. Whether you're a developer looking to compare code outputs or a researcher needing to verify facts, MultiLLM offers a reliable and efficient solution to meet your needs. Don't settle for less when it comes to the accuracy and reliability of information—choose MultiLLM and make informed decisions with confidence.

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