Generative AI with local LLM

This book is a practical guide for anyone interested in diving into the world of Generative AI development, regardless of their prior programming experience.

Learn how to build your own AI application step-by-step. A Hands-On Guide to AI Development with Local LLM.

Our key takeaway: You don’t need to be a machine learning expert to learn Generative AI.

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Here's what you can expect:

Clear and concise explanations: The book breaks down complex AI concepts into easily understandable steps, making it accessible to beginners.
Step-by-step instructions: Each chapter guides you through building a specific AI application, from setting up your environment to deploying your final product.
Real-world examples: You'll learn by applying AI techniques to solve practical problems, gaining valuable hands-on experience.
Popular tools and libraries: The book focuses on widely used tools and libraries like Langchain, Vanna, TensorFlow, and PyTorch equipping you with in-demand skills.
Project-based learning: You'll work on engaging projects that range from simple image recognition to more advanced natural language processing tasks.
Advance Topics: Dive deeper into cutting-edge techniques like the Model Context Protocol (MCP), integrating local LLMs with remote models (Minions), and optimizing performance for edge computing. Explore advanced multi-model orchestration, and real-time AI applications.