Starting today with Mistral AI & MongoDB: A Beginner’s Guide to a Self-Hosted LLM Generative AI Application
Introduction
In today’s world of impressive AI technology, we’re amazed by what Language Learning Models (LLMs) can do. They can talk to us almost like humans. But do we really know how they do it? It’s a bit like being wowed by a black box machine, even though we don’t understand all its parts.
Now, imagine if you could have your very own LLM, just for you. This means that all your private conversations and data stay safe with you. It’s like having a secret room where no one else can enter.
Or let’s say you’re studying what people think about your new product. You want to use an LLM to help you analyze what are people’s feelings about your product on social media. But then you think, “How can I be sure it’s giving me the right answers?”
Or think about a marketer who wants help creating catchy ads. You’re excited that an LLM can help, but you worry, “Does it really get what my brand is all about?”
This is where Mistral AI comes in. It lets you customize and control the conversations in a way that’s right for you. In this article, we’ll learn more about how Mistral AI helps us use AI in a self owned and smart way together with your data stored in MongoDB.
