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).
Recommended experience
What you'll learn
Explore Mistral’s three open source models, and three commercial models, which Mistral provides access to via web interface and API calls.
Utilize Mistral’s JSON mode to structure LLM responses, integrating them into larger software applications.
Employ Mistral’s API to execute Python functions for tasks like web searches, enhancing the LLM's ability to find relevant information.
Skills you'll practice
Details to know
May 2024
Only available on desktop
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About this project
Instructor
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How you'll learn
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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