Learn Mistral: RAG, AWS Bedrock by Pavlo Cherkashin (.ePUB)+
File Size: 39.0 MB
Learn Mistral: Elevating Mistral systems through embeddings, agents, RAG, AWS Bedrock, and Vertex AI by Pavlo Cherkashin
Requirements: .ePUB, .PDF reader, 39.0 MB | True PDF, True EPUB
Overview: Unlock the power of Mistral models by building embeddings, RAG systems, and coding assistants that deliver real-world AI solutions. 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. This book is ideal for software developers, AI practitioners, data scientists, and technology enthusiasts who are keen to master Mistral models. Whether you’re looking to deploy powerful AI systems, enhance your existing skills, or understand the intricacies of operating AI in regulated environments, this book provides the knowledge and practical insights needed to excel.
Genre: Non-Fiction > Tech & Devices
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