5 Augmented Reality Careers
November 25, 2024
Article
(13 reviews)
Recommended experience
Beginner level
Anyone who wants to learn about and use Mistral AI’s collection of advanced open source and commercial LLMs.
(13 reviews)
Recommended experience
Beginner level
Anyone who wants to learn about and use Mistral AI’s collection of advanced open source and commercial LLMs.
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.
Only available on desktop
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).
In detail: 1. Access and prompt Mistral models via API calls for tasks, and decide whether your task is either a simple task (classification), medium (email writing), or advanced (coding) level of complexity, and consider speed requirements to choose an appropriate model. 2. Learn to use Mistral’s native function calling, in which you give an LLM tools it can call as needed to perform tasks that are better performed by traditional code, such as querying a database for numerical data. 3. 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. 4. Build a chat interface to interact with the Mistral models and ask questions about a document that you upload. By the end of this course, you’ll be equipped to leverage Mistral AI’s leading open source and commercial models.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
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.
Course
Duke University
Course
LearnQuest
Course
Google Cloud
Course
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