VerifAI

Verifai's MultiLLM is a powerful open-source Python framework designed to harness the combined power of multiple large language models (LLMs) for more accurate and reliable results. It achieves this by running several LLMs in parallel and then carefully ranking their outputs to identify the most accurate answer, often referred to as the "ground truth."

Highlights

• Combines multiple LLMs: Leverages the strengths of different LLMs to provide more comprehensive and reliable results.
• Finds the most accurate answer: Ranks outputs from different models to identify the most likely correct answer.
• Customizable and flexible: Supports new LLMs and allows for tailored ranking functions to evaluate diverse outputs.
• Reduces reliance on individual LLMs: Mitigates the risk of errors by combining and comparing outputs from multiple models.

Key Features

• Open-source and available on GitHub: Allows for community collaboration and customization.
• Initially focused on code generation: Designed to compare code outputs from popular LLMs like GPT-3 and Google Bard.
• Extendable to other tasks: Can be applied to various tasks, such as answering questions and generating text.