In today's rapidly growing world of conversational AI, developers often seek ways to leverage multiple models seamlessly to diversify outputs and enhance user experience. One such scenario involves using different Local Language Models (LLMs) to serve different purposes or to offer a variety of responses. In this article, we'll explore a method to set up and switch between multiple local LLMs, particularly Zephyr and Mistral 7B, using the Chainlit and Langchain libraries. …
In the rapidly evolving landscape of large language models (LLMs), enhancing their capabilities and performance is pivotal. Three prominent techniques that stand out in achieving this are: …