Building Llm Applications With Python
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Building Llm Applications With Python
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Author : ANAND. VEMULA
language : en
Publisher:
Release Date : 2024
Building Llm Applications With Python written by ANAND. VEMULA and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Building Ai Intensive Python Applications
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Author : Rachelle Palmer
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-09-06
Building Ai Intensive Python Applications written by Rachelle Palmer and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-06 with Computers categories.
Master retrieval-augmented generation architecture and fine-tune your AI stack, along with discovering real-world use cases and best practices to create powerful AI apps Key Features Get to grips with the fundamentals of LLMs, vector databases, and Python frameworks Implement effective retrieval-augmented generation strategies with MongoDB Atlas Optimize AI models for performance and accuracy with model compression and deployment optimization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications. The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance. By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value.What you will learn Understand the architecture and components of the generative AI stack Explore the role of vector databases in enhancing AI applications Master Python frameworks for AI development Implement Vector Search in AI applications Find out how to effectively evaluate LLM output Overcome common failures and challenges in AI development Who this book is for This book is for software engineers and developers looking to build intelligent applications using generative AI. While the book is suitable for beginners, a basic understanding of Python programming is required to make the most of it.
Build Llm Applications With Python Ollama Langchain And Gradio
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Author : Prabir Guha
language : en
Publisher: Independently Published
Release Date : 2025-04-28
Build Llm Applications With Python Ollama Langchain And Gradio written by Prabir Guha and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Computers categories.
Build LLM Applications with Python, Ollama, LangChain, and Gradio: A Hands-On Guide By Prabir Guha Unlock the power of Large Language Models (LLMs) through practical, real-world application! This hands-on guide demystifies how LLMs work, how to run them locally with Ollama, and how to build cutting-edge applications with Python, LangChain, and Gradio - no cloud dependency required. Starting with the evolution of Natural Language Processing (NLP) from early rule-based systems to today's transformer-based LLMs like GPT and BERT, the book provides a solid technical foundation. You'll learn how to install and configure the Ollama framework to run models like LLaMA 3.1 on your own workstation, ensuring privacy, low latency, and no API costs. Through step-by-step examples, you'll build your first Python LLM applications, master prompting techniques, and explore LangChain - a powerful framework for chaining prompts, tools, and memory. Practical use cases include text summarization, generation, QA systems, and structured data extraction. The book also introduces Agentic Technology, allowing your LLM applications to reason dynamically and use external tools autonomously. You'll build user-friendly chat interfaces with Gradio, mimicking popular conversational AIs like ChatGPT, and dive into Retrieval-Augmented Generation (RAG) systems that enrich LLMs with domain-specific knowledge, such as querying documents like a Medicare Guide. Finally, the book discusses the major challenges facing LLMs - bias, hallucination, environmental impact - and explores future trends such as multimodal AI, model optimization, and autonomous AI agents. Whether you're a developer, researcher, or enthusiast, this guide equips you with the skills and tools to build intelligent, efficient, and domain-adaptive LLM applications - all locally and hands-on. Key Topics Covered: How LLMs work (Transformer models, Encoders, Decoders) Setting up the Ollama framework for local LLM execution Building LLM applications with Python Crafting effective prompts for optimal model behavior Developing advanced LLM apps with LangChain Integrating agents for autonomous reasoning Creating conversational UIs using Gradio Implementing Retrieval-Augmented Generation (RAG) systems Future challenges and trends in LLM evolution If you want to build and deploy your own LLM-powered systems - without relying on expensive cloud services - this book is your practical, hands-on guide.
Building Llm Powered Applications
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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-22
Building Llm Powered Applications written by Valentina Alto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-22 with Computers categories.
Get hands-on with GPT 3.5, GPT 4, LangChain, Llama 2, Falcon LLM and more, to build LLM-powered sophisticated AI applications Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Embed LLMs into real-world applications Use LangChain to orchestrate LLMs and their components within applications Grasp basic and advanced techniques of prompt engineering Book DescriptionBuilding 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. The 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. Whether 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.What you will learn Explore the core components of LLM architecture, including encoder-decoder blocks and embeddings Understand the unique features of LLMs like GPT-3.5/4, Llama 2, and Falcon LLM Use AI orchestrators like LangChain, with Streamlit for the frontend Get familiar with LLM components such as memory, prompts, and tools Learn how to use non-parametric knowledge and vector databases Understand the implications of LFMs for AI research and industry applications Customize your LLMs with fine tuning Learn about the ethical implications of LLM-powered applications Who this book is for 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. We don’t assume previous experience with LLM specifically. But readers should have core ML/software engineering fundamentals to understand and apply the content.
Generative Ai With Langchain
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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-22
Generative Ai With Langchain written by Ben Auffarth and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-22 with Computers categories.
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free Key Features Learn how to leverage LangChain to work around LLMs’ inherent weaknesses Delve into LLMs with LangChain and explore their fundamentals, ethical dimensions, and application challenges Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality Book DescriptionChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What you will learn Create LLM apps with LangChain, like question-answering systems and chatbots Understand transformer models and attention mechanisms Automate data analysis and visualization using pandas and Python Grasp prompt engineering to improve performance Fine-tune LLMs and get to know the tools to unleash their power Deploy LLMs as a service with LangChain and apply evaluation strategies Privately interact with documents using open-source LLMs to prevent data leaks Who this book is for The book is for developers, researchers, and anyone interested in learning more about LangChain. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs using LangChain. Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.
Designing Large Language Model Applications
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Author : Suhas Pai
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-03-06
Designing Large Language Model Applications written by Suhas Pai and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
Large language models (LLMs) have proven themselves to be powerful tools for solving a wide range of tasks, and enterprises have taken note. But transitioning from demos and prototypes to full-fledged applications can be difficult. This book helps close that gap, providing the tools, techniques, and playbooks that practitioners need to build useful products that incorporate the power of language models. Experienced ML researcher Suhas Pai offers practical advice on harnessing LLMs for your use cases and dealing with commonly observed failure modes. You’ll take a comprehensive deep dive into the ingredients that make up a language model, explore various techniques for customizing them such as fine-tuning, learn about application paradigms like RAG (retrieval-augmented generation) and agents, and more. Understand how to prepare datasets for training and fine-tuning Develop an intuition about the Transformer architecture and its variants Adapt pretrained language models to your own domain and use cases Learn effective techniques for fine-tuning, domain adaptation, and inference optimization Interface language models with external tools and data and integrate them into an existing software ecosystem
Generative Ai Apps With Langchain And Python
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Author : Rabi Jay
language : en
Publisher: Springer Nature
Release Date : 2024-12-26
Generative Ai Apps With Langchain And Python written by Rabi Jay and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain’s components, from core chains to advanced conversational agents. This hands-on book provides Python developers with the necessary skills to develop real-world Large Language Model (LLM)-based Generative AI applications quickly, regardless of their experience level. Projects throughout the book offer practical LLM solutions for common business issues, such as information overload, internal knowledge access, and enhanced customer communication. Meanwhile, you’ll learn how to optimize workflows, enhance embedding efficiency, select between vector stores, and other optimizations relevant to experienced AI users. The emphasis on real-world applications and practical examples will enable you to customize your own projects to address pain points across various industries. Developing LangChain-based Generative AI LLM Apps with Python employs a focused toolkit (LangChain, Pinecone, and Streamlit LLM integration) to practically showcase how Python developers can leverage existing skills to build Generative AI solutions. By addressing tangible challenges, you’ll learn-by-be doing, enhancing your career possibilities in today’s rapidly evolving landscape. What You Will Learn Understand different types of LLMs and how to select the right ones for responsible AI. Structure effective prompts. Master LangChain concepts, such as chains, models, memory, and agents. Apply embeddings effectively for search, content comparison, and understanding similarity. Setup and integrate Pinecone vector database for indexing, structuring data, and search. Build Q & A applications for multiple doc formats. Develop multi-step AI workflow apps using LangChain agents. Who This Book Is For Python programmers who aim to develop a basic understanding of AI concepts and move from LLM theory to practical Generative AI application development using LangChain; those seeking a structured guide to enhance their careers by learning to create robust, real-world LLM-powered Generative AI applications; data scientists, analysts, and experienced developers new to LLMs.
Generative Ai And Rag For Beginners
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Author : Oscar Mazzanti
language : en
Publisher: Emmanuel Livingstone
Release Date : 2025-12-17
Generative Ai And Rag For Beginners written by Oscar Mazzanti and has been published by Emmanuel Livingstone this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-17 with Computers categories.
Unlock the Power of Generative AI with this Step-by-Step Guide! Are you ready to dive into the world of Artificial Intelligence and build your own intelligent applications? Generative AI and RAG for Beginners is the perfect starting point for anyone eager to explore how large language models (LLMs) and Retrieval-Augmented Generation (RAG) work in the real world. This practical, hands-on guide will walk you through the process of creating your very own AI-powered solutions using LangChain and Python. Whether you're a complete beginner or looking to enhance your existing knowledge, this book breaks down complex concepts into simple, actionable steps. You’ll learn how to: Build powerful AI applications that retrieve accurate information and generate contextually aware responses. Master LangChain and Python to create efficient workflows, connect databases, and integrate external data sources. Understand RAG systems and how they enhance the capabilities of traditional language models by incorporating real-world knowledge. Navigate real-world challenges with expert tips on improving performance, optimizing retrieval pipelines, and handling large datasets. Create practical AI solutions for industries like business, education, research, and more! Packed with clear explanations, code examples, and project-based learning, this guide will help you develop a strong foundation in AI development and prepare you for future challenges in machine learning and natural language processing. What You'll Gain: Hands-on experience with building and deploying AI models. Clear guidance on leveraging LangChain for LLM-powered applications. Practical knowledge of RAG and its real-world applications. Proven tips for tackling common issues and improving model performance. Whether you're creating AI assistants, building data-driven applications, or exploring new ways to interact with data, this book gives you the tools to succeed. Get ready to bring your AI ideas to life—no prior experience required! Start building the future of AI today. Grab your copy of Generative AI and RAG for Beginners and take your first step toward becoming a skilled AI engineer!
Ict Analysis And Applications
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Author : Simon Fong
language : en
Publisher: Springer Nature
Release Date : 2025-11-11
Ict Analysis And Applications written by Simon Fong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-11 with Computers categories.
This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 10th International Conference on ICT for Sustainable Development (ICT4SD 2025), held in Goa, India, on 17–19 July 2025. The book covers topics such as big data and data mining, data fusion, IoT programming toolkits and frameworks, green communication systems and network, use of ICT in smart cities, sensor networks and embedded system, network and information security, wireless and optical networks, security, trust, and privacy, routing and control protocols, cognitive radio and networks, and natural language processing. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.
The Ai Atlas
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Author : Vitalii Starosta
language : en
Publisher: Vitalii Starosta
Release Date :
The Ai Atlas written by Vitalii Starosta and has been published by Vitalii Starosta this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The AI revolution is here, but it doesn’t come with a map... until now. Feeling overwhelmed by the dizzying pace of innovation and the thousands of new AI tools launching every month? You’re not alone. In this new digital frontier, the greatest challenge is separating the signal from the noise. The AI Atlas is your definitive guide, a meticulously curated directory of 1001 of the most powerful, innovative, and game-changing AI tools available today. This is more than just a list—it’s your key to unlocking the future. What’s Inside? Each of the 1001 entries is structured for clarity and speed, giving you: · Tool Name & Direct Link: The official name and a direct URL to access it instantly. · A Concise Description: A professional summary of the tool’s core purpose and value. · Detailed Tags & Categories: See where each tool fits with clear labels (e.g., Image & Design Tools > Image Generation & Art) to find similar tools fast. · Keywords & Core Competencies: A scannable list of its key features and strengths. A Glimpse Into the Chapters Our 12 comprehensive chapters provide a masterclass in the current state of AI. You will discover how to: · Supercharge Your Business: Explore tools for marketing, sales, advertising, and data analytics that give you a powerful competitive edge. · Unleash Your Creativity: Master AI that generates stunning images, composes original music, produces professional videos, and even assists in writing novels. · Accelerate Development: Find AI coding assistants, testing tools, and foundational platforms that are revolutionizing how software is built. · Boost Your Productivity: Automate tedious tasks, manage your projects, and conquer your inbox with intelligent assistants that work for you. Whether you are an entrepreneur trying to scale, a creator exploring new frontiers of artistry, a developer building the future, or a professional aiming to reclaim your time, The AI Atlas is the most well-organized and essential toolkit for navigating the age of artificial intelligence. Your journey starts now.