Learn Mistral

<p><strong>Unlock the power of Mistral models by building embeddings RAG systems and coding assistants that deliver real-world AI solutions.</strong></p><p><strong>Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</strong></p><p><strong>Key Features:</strong></p><p>- Build secure local chat apps multi-agent workflows and coding assistants with Mistral</p><p>- Master embeddings and advanced RAG techniques to create scalable context-aware AI</p><p>- Deploy compliant production-ready AI on AWS Bedrock Google Vertex AI and beyond</p><p><strong>Book Description:</strong></p><p>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.</p><p>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.</p><p>By the end of this book you will be ready to design and build AI systems that are innovative compliant and production-ready.</p><p>*Email sign-up and proof of purchase required</p><p><strong>What You Will Learn:</strong></p><p>- Build a secure local chat system with Ollama and Mistral</p><p>- Tune prompts and parameters to control model behavior</p><p>- Use embeddings and Pinecone for semantic search systems</p><p>- Design agents and multi-agent workflows with Mistral</p><p>- Implement advanced Retrieval-Augmented Generation pipelines</p><p>- Create coding copilots with Codestral in VS Code</p><p>- Deploy scalable AI on AWS Bedrock and Google Vertex AI</p><p><strong>Who this book is for:</strong></p><p>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.</p><p><strong>Table of Contents</strong></p><p>- Strengths Limitations and Use Cases of Language Models</p><p>- Setting Up Your Own Chat</p><p>- Managing the Model</p><p>- Mastering Embeddings</p><p>- Agents: From Automation to Intelligence</p><p>- Unpacking RAG Workflows</p><p>- Coding with Mistral</p><p>- Building Smarter Defenses with Mistral</p><p>- Take-Home RAG Challenges</p><p>- Mistral on AWS Bedrock</p><p>- Harnessing Mistral's Power via Google Cloud Vertex AI</p>