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Learn Mistral

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

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Product type Paperback
Published in Oct 2025
Publisher Packt
ISBN-13 9781835888643
Length 528 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Pavlo Cherkashin Pavlo Cherkashin
Author Profile Icon Pavlo Cherkashin
Pavlo Cherkashin
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Toc

Table of Contents (14) Chapters Close

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

Index

A

abstractive summarization 3

actions 151

adaptive indexing 385

agentic systems

building blocks 151, 152

agent performance testing 189

agent-specific functions, defining 194

customer service system wrapper and queries 195

error handling 192

final metrics calculation and persistence 193

performance runs, executing 195, 196

process time-measured agent call 192

research agent wrapper and queries 194, 195

result initialization 191

summary of metrics, printing 193

tester class, defining 190

tester, creating 194

tests loop 191

agents 22, 23, 148, 149

defining, in AI systems 147

features 152, 154

versus traditional automation 150

AI systems

agents, defining 147

automation, shortcomings 147, 148

alert prioritization 348

AmazonBedrockFullAccess policy 406

Amazon S3 384

AMD’s Strix Halo 62

API-driven model interactions 406

atomic sub-queries 279

environment...

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83
Tech Concepts
36
Programming languages
73
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