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).
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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 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.
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Activities
Organize and review your notes and assignments
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Compile and review your notes to enhance your understanding of the course materials and strengthen your knowledge retention.
Show steps
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Gather your notes and assignments.
-
Organize your notes and assignments.
-
Review your notes and assignments.
Review the basics of natural language processing (NLP)
Show steps
Review the basics of NLP to refresh your memory and strengthen your understanding of the fundamental concepts that underpin Mistral AI's models.
Browse courses on
Natural Language Processing
Show steps
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Read articles and tutorials on NLP.
-
Watch videos and online courses on NLP.
-
Practice NLP techniques using online tools and resources.
Read 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
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Read 'Natural Language Processing with Python' to supplement your learning and gain a deeper understanding of NLP, the foundation of Mistral AI's models.
View
Natural Language Processing with Python:...
on Amazon
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-
Read the book.
-
Take notes and highlight important concepts.
-
Complete the exercises in the book.
Four other activities
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Find a mentor who can provide guidance on using Mistral AI's models
Show steps
Find a mentor who can provide guidance and insights on using Mistral AI's models to enhance your learning and accelerate your progress.
Show steps
-
Identify potential mentors who have expertise in using Mistral AI.
-
Reach out to potential mentors.
-
Build a relationship with your mentor.
Build a chat interface to interact with the Mistral models
Show steps
Build a chat interface to interact with the Mistral models to gain hands-on experience and showcase your understanding of the models' capabilities.
Show steps
-
Design the chat interface.
-
Implement the chat interface.
-
Test the chat interface to ensure that it works correctly.
Practice using Mistral's native function calling
Show steps
Practice using Mistral's native function calling to build your skills and solidify your understanding of how to use LLMs to perform tasks that are better performed by traditional code.
Browse courses on
Function Calling
Show steps
-
Identify a task that is better performed by traditional code.
-
Write the code to call the LLM tool.
-
Test the code to ensure that it works correctly.
Build a project that uses Mistral AI's models to solve a real-world problem
Show steps
Start a project to build something using Mistral AI's models that puts your skills to the test and deepens your understanding of the models' capabilities and practical applications.
Show steps
-
Identify a real-world problem that can be solved using Mistral AI's models.
-
Design and plan your project.
-
Implement your project.
-
Test and evaluate your project.
Organize and review your notes and assignments
Show steps
Compile and review your notes to enhance your understanding of the course materials and strengthen your knowledge retention.
Show steps
- Gather your notes and assignments.
- Organize your notes and assignments.
- Review your notes and assignments.
Review the basics of natural language processing (NLP)
Show steps
Review the basics of NLP to refresh your memory and strengthen your understanding of the fundamental concepts that underpin Mistral AI's models.
Browse courses on
Natural Language Processing
Show steps
- Read articles and tutorials on NLP.
- Watch videos and online courses on NLP.
- Practice NLP techniques using online tools and resources.
Read 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Read 'Natural Language Processing with Python' to supplement your learning and gain a deeper understanding of NLP, the foundation of Mistral AI's models.
View
Natural Language Processing with Python:...
on Amazon
Show steps
- Read the book.
- Take notes and highlight important concepts.
- Complete the exercises in the book.
Find a mentor who can provide guidance on using Mistral AI's models
Show steps
Find a mentor who can provide guidance and insights on using Mistral AI's models to enhance your learning and accelerate your progress.
Show steps
- Identify potential mentors who have expertise in using Mistral AI.
- Reach out to potential mentors.
- Build a relationship with your mentor.
Build a chat interface to interact with the Mistral models
Show steps
Build a chat interface to interact with the Mistral models to gain hands-on experience and showcase your understanding of the models' capabilities.
Show steps
- Design the chat interface.
- Implement the chat interface.
- Test the chat interface to ensure that it works correctly.
Practice using Mistral's native function calling
Show steps
Practice using Mistral's native function calling to build your skills and solidify your understanding of how to use LLMs to perform tasks that are better performed by traditional code.
Browse courses on
Function Calling
Show steps
- Identify a task that is better performed by traditional code.
- Write the code to call the LLM tool.
- Test the code to ensure that it works correctly.
Build a project that uses Mistral AI's models to solve a real-world problem
Show steps
Start a project to build something using Mistral AI's models that puts your skills to the test and deepens your understanding of the models' capabilities and practical applications.
Show steps
- Identify a real-world problem that can be solved using Mistral AI's models.
- Design and plan your project.
- Implement your project.
- Test and evaluate your project.
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