Intro to Mistral AI

Get up-to-speed with Mistral AI through a crash course developed in partnership with the AI provider itself. Throughout 25 interactive lessons, you will learn how to build intelligent applications that span from straightforward chat completions to complex functionalities like Retrieval-Augmented Generation (RAG) and function calling. Starting off, you'll get an introduction to Mistral's open-source models, including Mistral 7B and Mistral 8x7B, and progress to their commercial models. You'll gain hands-on experience leveraging the full suite of Mistral's La Plateforme. The rest of the course is mainly focused on two essential paradigms in AI engineering: knowledge retrieval and AI agents. In the first part, you'll learn how to split text documents with LangChain, convert them into embeddings, store them in a vector database, and finally perform retrieval. In the AI agents segment, you'll learn how to give Mistral access to the functions within your app, and let their models decide when to call them. This skill will enable you to create a whole new type of user experience, where people can interact with your apps through conversation instead of mere clicking. Towards the end, we will also go through how you can use Ollama to easily run inference on your own computer, and use it as the backbone of any AI app you develop locally. If you're looking for a quick but well-rounded intro to Mistral, this is your perfect course.