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DeepLearning.AI

Getting Started with Mistral

  • up to 1 hour
  • Beginner

Explore Mistral’s open source and commercial models, and learn to leverage them for various tasks. This beginner-friendly course covers effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). Enroll for free and get hands-on experience with Mistral AI’s leading models.

  • Mistral models
  • API calls
  • Function calling
  • JSON mode
  • Retrieval Augmented Generation (RAG)

Overview

In this course, you’ll access Mistral AI’s collection of open source and commercial models, including the Mixtral 8x7B model, and the latest Mixtral 8x22B. You’ll learn about selecting the right model for your use case, and get hands-on with features like effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). By the end of this course, you’ll be equipped to leverage Mistral AI’s leading open source and commercial models.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Beginners

Anyone who wants to learn about and use Mistral AI’s collection of advanced open source and commercial LLMs.

Developers

Individuals who have taken ChatGPT Prompt Engineering for Developers or Prompt Engineering with Llama 2 and want to take the next step.

AI Enthusiasts

People interested in exploring Mistral’s open source and commercial models and leveraging them for various tasks.

Enroll in this course to explore Mistral’s advanced open source and commercial models. Learn effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). Ideal for beginners and developers looking to advance their skills in AI.

Pre-Requisites

1 / 3

  • Basic understanding of AI concepts

  • Familiarity with Python programming

  • Interest in learning about large language models

What will you learn?

Introduction to Mistral Models
Explore Mistral’s three open source models (Mistral 7B, Mixtral 8x7B, and the latest Mixtral 8x22B), and three commercial models (small, medium, and large).
Using Mistral’s JSON Mode
Leverage Mistral’s JSON mode to generate LLM responses in a structured JSON format, enabling integration of LLM outputs into larger software applications.
API Calls and Function Calling
Use Mistral’s API to call user-defined Python functions for tasks like web searches or retrieving text from databases, enhancing the LLM’s ability to find relevant information to answer user queries.
Effective Prompting Techniques
Learn about selecting the right model for your use case and get hands-on with effective prompting techniques.
Building a RAG System
Build a basic RAG system from scratch with similarity search, properly chunk data, create embeddings, and implement this tool as a function in your chat system.
Chat Interface Development
Build a chat interface to interact with the Mistral models and ask questions about a document that you upload.

Meet your instructor

  • Sophia Yang

    Instructor, DeepLearning.AI

    Sophia Yang is an instructor at DeepLearning.AI. She is also the Head of Developer Relations at Mistral AI.

Upcoming cohorts

  • Dates

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Free