All About “Getting Started with Mistral” a Short Course Launched by Mistral AI

Mistral AI, a leading provider of Large Language Models (LLMs), has collaborated with DeepLearning.AI to launch a new short course titled “Getting Started with Mistral.” This comprehensive course is designed to help learners understand and leverage Mistral’s powerful LLMs for various applications. 

According to Andrew Ng, the founder of DeepLearning.AI, “Mistral’s open-source Mixtral 8x7B model uses a “mixture of experts” architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks, with a gating network selecting two experts at inference time. This enables MoE to match the performance of a large model but faster inference. Mixtral 8x7B has 46.7B parameters but activates only 12.9B at inference time to predict the next token.”

Arthur Mensch Net Worth: Mistral AI CEO and Co-Founder

Getting Started with Mistral course will help the learners improve their prompt engineering skills. 

Getting Started with Mistral: Overview

“Getting Started with Mistral” is an in-depth course that offers practical knowledge on using Mistral’s cutting-edge LLMs. Learners will have the opportunity to explore Mistral’s three open-source models: Mistral 7B, Mixtral 8x7B, and Mixtral 8x22B, along with three commercial models: small, medium, and large. The course covers different topics, such as 

• Use API requests to access and prompt Mistral models for tasks. Determine the level of complexity of your activity (basic: categorization), medium: email writing; advanced: coding; and take into account speed requirements to select the right model.
• Leverage Mistral’s native function calling feature, which allows you to provide an LLM with tools it may use on-demand to do out operations that are best handled by conventional code, including retrieving numerical data from a database.
• Create embeddings, segment data appropriately, build a simple RAG system from scratch with similarity search, and integrate this tool into your chat system.
• Create a chat interface so you can ask questions about an uploaded document and communicate with the Mistral models.

Mixtral 8x22B vs 8x7B vs Mistral 7B: Which one is better? Check Here!

Course Fees, Structure, and Delivery

The “Getting Started with Mistral” course is offered through DeepLearning.AI, a renowned platform for AI and machine learning education. It will be taught by Sophia Yang, Ph.D., the Head of Developer Relations at Mistral AI. 

The course is absolutely free for the time being. You can enroll in it without having to pay any charges. 

The course content is structured into multiple sections, each covering a specific aspect of working with Mistral’s LLMs. Learners can access video lectures, hands-on exercises, and quizzes to reinforce their understanding of the material.

Upon completing the course, learners will have the knowledge and skills necessary to effectively utilize Mistral’s LLMs for their projects or businesses. The course aims to empower learners to harness the potential of AI and contribute to the rapidly growing field of generative AI.

Grok 1.5 vs Mistral 8x22B vs Claude vs GPT-4 vs Gemini: What are the Benchmark Differences?

Why Choose “Getting Started with Mistral”?

As the demand for AI-driven solutions continues to rise, having a strong foundation in working with LLMs is crucial for professionals and enthusiasts alike. “Getting Started with Mistral” offers a unique opportunity to learn from industry experts and gain practical experience with Mistral’s powerful models.

By enrolling in this course, you will not only expand your skill set but also become a part of the vibrant Mistral AI community. With access to valuable resources and ongoing support, you can continue learning and growing in the exciting world of generative AI.

Mistral 7B Tutorial: A Step-by-Step Guide on How to Use Mistral LLM

FREQUENTLY ASKED QUESTIONS