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Learn Mistral

You're reading from Learn Mistral Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI

Product type Paperback

Published in Oct 2025

Publisher Packt

ISBN-13 9781835888643

Length 528 pages

Edition 1st Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Pavlo Cherkashin

View More author details

Table of Contents (14) Chapters

Preface

1. Strengths, Limitations, and Use Cases of Language Models FREE CHAPTER

2. Setting Up Your Own Chat

3. Managing the Model

4. Mastering Embeddings

5. Agents: From Automation to Intelligence

6. Unpacking RAG Workflows

7. Coding with Mistral

8. Building Smarter Defenses with Mistral

9. Take-Home RAG Challenges

10. Mistral on AWS Bedrock

11. Harnessing Mistral’s Power via Google Cloud Vertex AI

12. Other Books You May Enjoy

13. Index

Technical requirements

Let’s begin by setting the stage for success by getting your groundwork ready. You’ll need a few essential tools and accounts ready so you can follow along with the examples and experiments in this chapter:

Mistral account: An account with Mistral is essential for accessing advanced language models, tools, and resources necessary for training and deploying large-scale language models.
Google Colab or local Jupyter server: Google Colab offers a cloud-based platform to run Jupyter notebooks with free access to GPUs and TPUs, ideal for performing intensive computations. Alternatively, a local Jupyter server allows for running these notebooks on your own hardware, giving full control over the computing environment.
GitHub repository: The Chapter-5 folder in the GitHub repository, available at https://github.com/PacktPublishing/Learn-Mistral, contains all the code and resources for Chapter 5. This repository is a valuable resource...

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Authors (1)

Pavlo Cherkashin

Pavlo Cherkashin

Pavel Cherkashin is a seasoned software craftsmanship expert with a focus on artificial intelligence and machine learning. He currently works as a consultant, helping organizations design and implement innovative AI solutions. Pavel's journey into AI began with a deep fascination for neural networks, and he has since dedicated his career to mastering and applying AI technologies. Along the way, he has contributed to major technology initiatives at companies such as Nike and Oracle. Pavel is also passionate about teaching, conducting workshops and training sessions to help professionals and enthusiasts understand and implement AI technologies effectively.

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