A very simple llm model router(code in description)

The video showcased the creation of a simple model router that automatically selects between GPT 40, 3.5 Sonet, or Lama 38 billion based on the ongoing conversation context. By leveraging GPT 40 as the router and Open Open Router as the model provider, the system efficiently determines and employs the most suitable model for processing messages, enhancing user experience and response accuracy.

In the video, the presenter demonstrates how to create a simple model router based on user queries. This router determines whether to use GPT 40, 3.5 Sonet, or Lama 38 billion based on the ongoing conversation type. The model router is built using GPT 40 as the router and Open Open Router as the model provider, all within 80 lines of code. The goal is to automate the selection of the appropriate model based on the context of the conversation.

The presenter starts by showcasing a chat interface where users can enter messages. They demonstrate that when a user types “hi,” the model router kicks in to determine which model to use for processing the message. In this case, the router may select GPT 40, 3.5 Sonet, or Lama 38 billion depending on the conversation context. This automation simplifies the process for users by seamlessly choosing the best model for each message.

The model router is designed to enhance the user experience by dynamically selecting the most suitable model for processing messages. By leveraging GPT 40 as the router and Open Open Router as the model provider, the system efficiently determines the appropriate model based on the ongoing conversation. This approach streamlines the workflow and ensures that the most relevant model is used for each message.

The presenter emphasizes the efficiency and effectiveness of the model router in providing a seamless experience for users. By automating the selection process and integrating different models based on the conversation type, the system can deliver more accurate and contextually relevant responses. This intelligent routing system optimizes the use of resources and enhances the overall performance of the conversational interface.

Overall, the video highlights the implementation of a model router that intelligently selects the appropriate model based on user queries. By combining GPT 40 as the router and Open Open Router as the model provider, the system can efficiently process messages and deliver tailored responses. This innovative approach simplifies the user experience and ensures that the right model is utilized for each conversation, enhancing the overall functionality of the chat interface.