How I built multi-model LLM routing on Groq's free tier

1. 1Build a routing system using Groq's API to manage multiple LLMs
2. 2Configure the system to route requests based on token limits
3. 3Implement a queueing system to handle excess requests
4. 4Test the routing system with multiple LLMs
5. 5Optimize the system for performance and cost efficiency

AI engineers and researchers can benefit from this solution to optimize their LLM usage and reduce costs. It can be applied to various AI projects that require routing multiple models.

💡 Building a routing system can help optimize LLM usage and reduce costs by efficiently managing multiple models and token limits

🤖 Overcome Groq's token limits by building a multi-model LLM routing system! 💡