Pavlo Cherkashin

Learn Mistral (eBook, ePUB)

Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI

• Format: ePub

Produktbeschreibung

This is a practical, project-driven guide to turning open-source Mistral models into production-ready AI solutions. Through hands-on workshops and use cases, you'll learn how to build private chat systems, semantic search engines, intelligent agents, coding assistants, and secure deployments that go beyond simple experimentation. The journey begins by exploring where Mistral excels and where human oversight is essential. You'll then learn to set up a secure, locally hosted chat system with Ollama, customize behavior with system prompts and parameters, and dive deep into embeddings to unlock semantic search with Pinecone. As you progress, you'll build multi-agent workflows, unpack advanced Retrieval-Augmented Generation pipelines, and integrate Mistral with Codestral to accelerate coding. You'll also learn to apply Mistral to cybersecurity, be challenged with open-ended RAG projects, and be guided through deploying scalable AI on AWS Bedrock and Google Vertex AI. By the end of this book, you will be ready to design and build AI systems that are innovative, compliant, and production-ready.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 528
• Erscheinungstermin: 10. Oktober 2025
• Englisch
• ISBN-13: 9781835888650
• Artikelnr.: 75869170

Autorenporträt

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.