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    Build an LLM Application (from Scratch) (MEAP V02)

    Posted By: Free butterfly
    Build an LLM Application (from Scratch) (MEAP V02)

    Build an LLM Application (from Scratch) (MEAP V02)
    English | 2025 | ISBN: 9781633436527 | 161 pages | MOBI | 2.70 Mb

    Create your own LLM applications without using a framework like LlamaIndex or LangChain.

    In Build an LLM Application (from Scratch), you'll learn to create applications powered by large language models (LLM) from the ground up. In this practical book, you'll build several fully functioning, real-world AI tools—including a search engine, semantic caching for RAG, and autonomous AI agents.

    In Build an LLM Application (from Scratch), you'll learn how to
    Design and implement efficient search algorithms for LLM applications
    Develop custom Retrieval Augmented Generation (RAG) systems
    Master deep customization techniques for every aspect of search and RAG components
    Understand and overcome the limitations of popular LLM frameworks
    Create end-to-end LLM solutions by integrating multiple components cohesively
    Apply advanced fine-tuning techniques for task-specific models and domain adaptation
    Deploy quantized versions of open-source LLMs using vLLMs and Ollama

    Build an LLM Application (from Scratch) shows you just how customizable LLM applications can be when you create your own without using opinionated tools like LangChain and LlamaIndex. You'll learn the fundamentals of AI development hands-on, all without any proprietary tools. Soon you'll have the skills you need to build LLM applications, tailor them to your specific needs, and ensure you have control over your entire system.

    about the book
    Build an LLM Application (from Scratch) is a practical and comprehensive handbook for creating custom LLM applications without relying on premade frameworks. You'll start by mastering the fundamentals of search systems and RAG. Then you'll apply this knowledge to real-world projects, including building a hotel search engine using TripAdvisor review data, implementing semantic caching in RAG production systems, and deploying a full RAG application using Hugging Face and Gradio. By the end of the book, you'll have the skills to build AI agents from scratch, deploy open source LLMs with advanced quantization techniques, and create innovative, specialized LLM applications designed for your specific needs.

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