{"product_id":"building-llm-powered-applications-create-intelligent-apps-and-agents-with-large-language-models","title":"Building LLM Powered Applications: Create intelligent apps and agents with large language models","description":"\u003cp\u003e\u003cstrong\u003eBook info:\u003c\/strong\u003e Building LLM Powered Applications: Create intelligent apps and agents with large language models (Kindle, 342 pages) – Packt Publishing, 2024. Language: English.\u003c\/p\u003e\n \u003cp\u003eGet hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications\u003c\/p\u003e\u003cp\u003eGet With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eEmbed LLMs into real-world applications\u003c\/li\u003e\n\u003cli\u003eUse LangChain to orchestrate LLMs and their components within applications\u003c\/li\u003e\n\u003cli\u003eGrasp basic and advanced techniques of prompt engineering\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eBuilding LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities.\u003c\/p\u003e\u003cp\u003eThe book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5\/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio.\u003c\/p\u003e\u003cp\u003eWhether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eExplore the core components of LLM architecture, including encoder-decoder blocks and embeddings\u003c\/li\u003e\n\u003cli\u003eUnderstand the unique features of LLMs like GPT-3.5\/4, Llama 2, and Falcon LLM\u003c\/li\u003e\n\u003cli\u003eUse AI orchestrators like LangChain, with Streamlit for the frontend\u003c\/li\u003e\n\u003cli\u003eGet familiar with LLM components such as memory, prompts, and tools\u003c\/li\u003e\n\u003cli\u003eLearn how to use non-parametric knowledge and vector databases\u003c\/li\u003e\n\u003cli\u003eUnderstand the implications of LFMs for AI research and industry applications\u003c\/li\u003e\n\u003cli\u003eCustomize your LLMs with fine tuning\u003c\/li\u003e\n\u003cli\u003eLearn about the ethical implications of LLM-powered applications\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003e Software engineers and data scientists who want hands-on guidance for applying LLMs to build applications. The book will also appeal to technical leaders, students, and researchers interested in applied LLM topics.\u003c\/p\u003e\u003cp\u003eWe don’t assume previous experience with LLM specifically. But readers should have core ML\/software engineering fundamentals to understand and apply the content.\u003c\/p\u003eTable of Contents\u003cli\u003eIntroduction to Large Language Models\u003c\/li\u003e\u003cli\u003eLLMs for AI-Powered Applications\u003c\/li\u003e\u003cli\u003eChoosing an LLM for Your Application\u003c\/li\u003e\u003cli\u003ePrompt Engineering\u003c\/li\u003e\u003cli\u003e Embedding LLMs within Your Applications\u003c\/li\u003e\u003cli\u003eBuilding Conversational Applications\u003c\/li\u003e\u003cli\u003eSearch and Recommendation Engines with LLMs\u003c\/li\u003e\u003cli\u003eUsing LLMs with Structured Data\u003c\/li\u003e\u003cli\u003eWorking with Code\u003c\/li\u003e\u003cli\u003e Building Multimodal Applications with LLMs\u003c\/li\u003e\u003cli\u003e Fine-Tuning Large Language Models\u003c\/li\u003e\u003cli\u003eResponsible AI\u003c\/li\u003e\u003cli\u003eEmerging Trends and Innovations\u003c\/li\u003e  ","brand":"Valentina Alto","offers":[{"title":"Default Title","offer_id":46071001481450,"sku":"9781835462317","price":43.72,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/5301\/6298\/files\/81QXyQ5zfWL._SY522.jpg?v=1781278114","url":"https:\/\/textbookme.store\/products\/building-llm-powered-applications-create-intelligent-apps-and-agents-with-large-language-models","provider":"TextbookMe","version":"1.0","type":"link"}