Large Language Models Llm And Api S

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Mastering Large Language Models With Python Unleash The Power Of Advanced Natural Language Processing For Enterprise Innovation And Efficiency Using Large Language Models Llms With Python

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Author : Raj Arun
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2024-04-12

Mastering Large Language Models With Python Unleash The Power Of Advanced Natural Language Processing For Enterprise Innovation And Efficiency Using Large Language Models Llms With Python written by Raj Arun and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Computers categories.

A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise Key Features● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. Book Description “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the dynamic landscape of artificial intelligence. What you will learn ● In-depth study of LLM architecture and its versatile applications across industries. ● Harness open-source and proprietary LLMs to craft innovative solutions. ● Implement LLM APIs for a wide range of tasks spanning natural language processing, audio analysis, and visual recognition. ● Optimize LLM deployment through techniques such as quantization and operational strategies like LLMOps, ensuring efficient and scalable model usage. Table of Contents 1. The Basics of Large Language Models and Their Applications 2. Demystifying Open-Source Large Language Models 3. Closed-Source Large Language Models 4. LLM APIs for Various Large Language Model Tasks 5. Integrating Cohere API in Google Sheets 6. Dynamic Movie Recommendation Engine Using LLMs 7. Document-and Web-based QA Bots with Large Language Models 8. LLM Quantization Techniques and Implementation 9. Fine-tuning and Evaluation of LLMs 10. Recipes for Fine-Tuning and Evaluating LLMs 11. LLMOps - Operationalizing LLMs at Scale 12. Implementing LLMOps in Practice Using MLflow on Databricks 13. Mastering the Art of Prompt Engineering 14. Prompt Engineering Essentials and Design Patterns 15. Ethical Considerations and Regulatory Frameworks for LLMs 16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index

Hands On Apis For Ai And Data Science

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Author : Ryan Day
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-03-04

Hands On Apis For Ai And Data Science written by Ryan Day 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 2025-03-04 with Computers categories.

Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit. As you complete the chapters in the book, you'll be creating portfolio projects that teach you how to: Design APIs that data scientists and AIs love Develop APIs using Python and FastAPI Deploy APIs using multiple cloud providers Create data science projects such as visualizations and models using APIs as a data source Access APIs using generative AI and LLMs

Large Language Models Llm And Api S

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Large Language Models Llm And Api S written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

The Large Language Models API represents a transformative advancement in natural language processing (NLP), offering developers unparalleled access to state-of-the-art language models such as GPT-3. This API serves as a gateway to immense computational power and linguistic capabilities, empowering applications across diverse domains. At its core, the API provides seamless integration with existing software systems, enabling developers to harness the power of large language models without the complexities of model training and infrastructure management. By simply sending text inputs to the API, developers can receive rich, context-aware responses, opening new avenues for innovation in human-computer interaction. The API's capabilities span a wide range of tasks, including text generation, summarization, translation, sentiment analysis, and more. Whether automating content creation, enhancing customer service experiences, or powering virtual assistants, the API offers versatile solutions tailored to various use cases. Key features of the Large Language Models API include robust performance, scalability, and reliability. With access to vast amounts of training data and sophisticated neural network architectures, the API consistently delivers high-quality results across different languages and domains. Additionally, its scalable infrastructure ensures smooth operation even under heavy workloads, making it suitable for applications of any scale. Ethical considerations are paramount in AI development, and the API prioritizes responsible usage through features such as content moderation and bias detection. Developers can leverage these tools to mitigate the risks of misinformation, bias, and privacy violations, fostering trust and integrity in their applications. The API's documentation and developer resources provide comprehensive guidance for integration and usage, catering to developers of all skill levels. Additionally, community support and online forums offer opportunities for collaboration and knowledge sharing, driving innovation and collective learning. As the field of NLP continues to evolve, the Large Language Models API remains at the forefront of innovation, with ongoing updates and improvements to meet the evolving needs of developers and users alike. By leveraging the API's capabilities responsibly and creatively, developers can unlock new possibilities and redefine the boundaries of human-computer interaction.

A Comprehensive Handbook To Llms And Generative Ai

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Author : Dr. Sitanath Biswas
language : en
Publisher: JEC PUBLICATION
Release Date :

A Comprehensive Handbook To Llms And Generative Ai written by Dr. Sitanath Biswas and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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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

Llms

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Author : Ronald Legarski
language : en
Publisher: SolveForce
Release Date : 2024-09-01

Llms written by Ronald Legarski and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.

"LLMs: From Origin to Present and Future Applications" by Ronald Legarski is an authoritative exploration of Large Language Models (LLMs) and their profound impact on artificial intelligence, machine learning, and various industries. This comprehensive guide traces the evolution of LLMs from their early beginnings to their current applications, and looks ahead to their future potential across diverse fields. Drawing on extensive research and industry expertise, Ronald Legarski provides readers with a detailed understanding of how LLMs have developed, the technologies that power them, and the transformative possibilities they offer. This book is an invaluable resource for AI professionals, researchers, and enthusiasts who want to grasp the intricacies of LLMs and their applications in the modern world. Key topics include: The Origins of LLMs: A historical perspective on the development of natural language processing and the key milestones that led to the creation of LLMs. Technological Foundations: An in-depth look at the architecture, data processing, and training techniques that underpin LLMs, including transformer models, tokenization, and attention mechanisms. Current Applications: Exploration of how LLMs are being used today in industries such as healthcare, legal services, education, content creation, and more. Ethical Considerations: A discussion on the ethical challenges and societal impacts of deploying LLMs, including bias, fairness, and the need for responsible AI governance. Future Directions: Insights into the future of LLMs, including their role in emerging technologies, interdisciplinary research, and the potential for creating more advanced AI systems. With clear explanations, practical examples, and forward-thinking perspectives, "LLMs: From Origin to Present and Future Applications" equips readers with the knowledge to navigate the rapidly evolving field of AI. Whether you are a seasoned AI professional, a researcher in the field, or someone with an interest in the future of technology, this book offers a thorough exploration of LLMs and their significance in the digital age. Discover how LLMs are reshaping industries, driving innovation, and what the future holds for these powerful AI models.

Large Language Model Based Solutions

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Author : Shreyas Subramanian
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-02

Large Language Model Based Solutions written by Shreyas Subramanian and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Computers categories.

Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: Effective strategies to address the challenge of the high computational cost associated with LLMs Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.

Large Language Models Projects

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Author : Pere Martra
language : en
Publisher: Springer Nature
Release Date : 2024-09-18

Large Language Models Projects written by Pere Martra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.

This book offers you a hands-on experience using models from OpenAI and the Hugging Face library. You will use various tools and work on small projects, gradually applying the new knowledge you gain. The book is divided into three parts. Part one covers techniques and libraries. Here, you'll explore different techniques through small examples, preparing to build projects in the next section. You'll learn to use common libraries in the world of Large Language Models. Topics and technologies covered include chatbots, code generation, OpenAI API, Hugging Face, vector databases, LangChain, fine tuning, PEFT fine tuning, soft prompt tuning, LoRA, QLoRA, evaluating models, and Direct Preference Optimization. Part two focuses on projects. You'll create projects, understanding design decisions. Each project may have more than one possible implementation, as there is often not just one good solution. You'll also explore LLMOps-related topics. Part three delves into enterprise solutions. Large Language Models are not a standalone solution; in large corporate environments, they are one piece of the puzzle. You'll explore how to structure solutions capable of transforming organizations with thousands of employees, highlighting the main role that Large Language Models play in these new solutions. This book equips you to confidently navigate and implement Large Language Models, empowering you to tackle diverse challenges in the evolving landscape of language processing. What You Will Learn Gain practical experience by working with models from OpenAI and the Hugging Face library Use essential libraries relevant to Large Language Models, covering topics such as Chatbots, Code Generation, OpenAI API, Hugging Face, and Vector databases Create and implement projects using LLM while understanding the design decisions involved Understand the role of Large Language Models in larger corporate settings Who This Book Is For Data analysts, data science, Python developers, and software professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks

Mastering Apis For Enterprise Applications

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Author : Rajan Subramanian
language : en
Publisher: BPB Publications
Release Date : 2025-03-20

Mastering Apis For Enterprise Applications written by Rajan Subramanian and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Computers categories.

DESCRIPTION Technology is moving towards modern digital systems with business functionality exposed by integrating multiple best-of-breed software systems. In today's interconnected digital landscape, application programming interfaces (APIs) are the backbone of enterprise applications, enabling seamless data exchange and service integration. This book takes you through the entire API lifecycle, starting with the evolution of APIs and moving beyond traditional REST to modern architectures like GraphQL and gRPC. You will learn the core principles of API design, including best practices, security protocols, and open standard adoption like OpenAPI. You will also gain practical skills in API development, testing, and documentation, focusing on enhancing developer experience and ensuring scalability. Crucial aspects of API governance, real-time API implementation, and API gateways are thoroughly covered. Finally, the book explores emerging trends, including generative AI APIs, vision, natural language processing (NLP), speech, and large language models (LLMs), preparing you for the future of API integration. By the end of this book, you will gain the expertise to confidently build and manage APIs for enterprise applications, becoming a proficient architect in the dynamic world of digital integration, ready to leverage APIs as a powerful strategic asset. WHAT YOU WILL LEARN ● Understanding different API architectures like REST, gRPC, and WebSockets. ● Practical approach to API development with an emphasis on open standards. ● Explore advanced topics like real-time, asynchronous, and generative AI APIs. ● Implement rigorous API testing strategies to ensure reliability and security. ● Enhance the developer experience with effective documentation and interactive API explorers. ● Best practices to create enterprise-grade high-performance APIs. ● Learning WebSocket, SSE, message broker implementation for real-time data delivery. WHO THIS BOOK IS FOR This book is for developers, architects, and technical leads, who want to design and develop robust, scalable, and secure APIs for their web applications. It assumes a basic understanding of HTTP, JSON, and JavaScript. TABLE OF CONTENTS 1. The Modern API Economy 2. Beyond REST 3. Fundamentals of API Design 4. Crafting APIs 5. Embracing Open API Standards 6. API Security 7. API Development Lifecycle 8. API Testing 9. API Documentation 10. API Performance and Scaling 11. API Governance 12. Real-time, Asynchronous, and Streaming APIs 13. API Management Platforms and Gateways 14. Trends in AI APIs

Vicuna With Llama Techniques And Applications

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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-11

Vicuna With Llama Techniques And Applications written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.

"VICUNA with LLaMA: Techniques and Applications" "VICUNA with LLaMA: Techniques and Applications" is a comprehensive reference that explores the architectural innovations, fine-tuning strategies, and real-world deployments of two leading open-source large language models—LLaMA and VICUNA. The book begins with an in-depth dissection of model foundations, from tokenization and attention mechanisms to comparative analysis with other open LLMs. It expertly guides the reader through advanced internal workings, efficient transformer design, and the thoughtful curation of pre-training data, establishing a solid grounding in both the theoretical and practical principles behind these transformative models. Building on this foundation, the text delves into state-of-the-art methodologies for adapting language models to specialized tasks. Practitioners and researchers are guided through parameter-efficient fine-tuning approaches, prompt engineering, multi-turn dialogue modeling, and rigorous evaluation protocols. The book provides actionable insights into distributed training, hardware optimization, robust evaluation metrics, and scalable serving architectures—demonstrating best practices for deploying LLMs effectively and securely in production environments. Lastly, the volume addresses advanced applications across industries, from conversational agents and knowledge management to healthcare and creative domains. It gives special attention to issues of security, privacy, bias mitigation, and responsible AI deployment, underscoring the importance of ethical considerations in modern AI systems. By culminating with current research frontiers and the vibrant ecosystem of open-source collaboration, this book is an indispensable guide for professionals and academics seeking to harness the full potential of LLaMA and VICUNA in cutting-edge language model development.