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Introducing MultiAI-Query: Your Unified Tool for Engaging Multiple AI Models

I'm excited to announce that MultiAI-Query is now open source.

I developed MultiAI-Query to seamlessly interact with multiple AI language models simultaneously, including OpenAI, Mistral, LLaMA, Groq, and Google Gemini, all in one place.

What is MultiAI-Query?

I built MultiAI-Query, an open-source tool that sends a single prompt to multiple AI language models and collects their responses in a Markdown file.

It's designed to make it easy to compare different models, get diverse perspectives, or just experiment with AI.

Key Features

  • Multi-Model Support: Interact with a range of models including OpenAI, Mistral, LLaMA, Groq, and Google Gemini.

  • Customizable Parameters: Fine-tune inference settings such as temperature, top_p, and max_tokens to control the creativity and length of the responses.

  • Flexible Model Selection: Easily include or exclude models based on your requirements by modifying a simple list within the script.

  • System Message Configuration: Guide the behavior of each model with customizable system messages to obtain tailored responses.

  • Formatted Output: Responses from each model are organized into a response.md file, making it easy to compare and analyze the outputs side by side.

  • Scalable Design: Built with extensibility in mind, allowing for the addition of more models or customization of existing functionalities.

Getting Started

Check out the simple steps here to use MultiAI-Query.

Why Open Source MultiAI-Query?

I'm making MultiAI-Query open source so others can use, customize, and improve it.

MultiAI-Query can help you compare AI models, build AI-powered apps, or just experiment with different models.