Mastering Openai For Enterprise
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Mastering Openai For Enterprise
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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-11
Mastering Openai For Enterprise written by Sriram Subramanian and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.
TAGLINE Master OpenAI and Unlock the Future of AI-Powered Innovation KEY FEATURES ● In-depth exploration of OpenAI tools, models, and enterprise use cases ● Hands-on projects with extensive code samples for practical learning ● Real-world case studies with ethical AI insights and best practices DESCRIPTION OpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. Ethical AI development and responsible implementation are also key themes, ensuring that innovation is balanced with accountability. As AI continues to evolve at an unprecedented pace, mastering OpenAI is no longer optional—it’s essential. The future belongs to those who can effectively leverage these technologies. Don’t get left behind—equip yourself with the expertise needed to stay ahead in the AI revolution. WHAT WILL YOU LEARN ● Gain expertise in OpenAI’s models, APIs, and enterprise applications ● Build intelligent chatbots and virtual assistants using ChatGPT ● Implement ethical AI practices for responsible and fair deployment ● Optimize and deploy OpenAI models for scalable business solutions ● Analyze real-world case studies to drive AI-powered innovation ● Leverage generative AI to automate, enhance, and transform workflows WHO IS THIS BOOK FOR? This book is tailored for both beginners and experienced professionals looking to harness the power of OpenAI. Ideal for application architects, developers, AI engineers, CTOs, and technology leaders, it provides the essential knowledge and hands-on skills needed to integrate OpenAI solutions into enterprise applications effectively. TABLE OF CONTENTS 1. OpenAI Primer 2. Deep Learning, Transformers, and OpenAI Tools 3. Natural Language Processing with GPTs 4. Computer Vision with DALL-E and CLIP 5. Building Chatbots with ChatGPT 6. AI Ethics and Responsible AI 7. Deploying OpenAI Models 8. Case Studies and Best Practices Appendix. Retrieval-Augmented Generation (RAG) Index
Mastering Openai For Enterprise Unlock The Power Of Openai To Build Intelligent Applications For Businesses With Gpt Dall E Rag And Ai Agents
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Author : Sriram Subramanian
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-03-11
Mastering Openai For Enterprise Unlock The Power Of Openai To Build Intelligent Applications For Businesses With Gpt Dall E Rag And Ai Agents written by Sriram Subramanian 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 2025-03-11 with Computers categories.
Master OpenAI and Unlock the Future of AI-Powered Innovation Key Features● In-depth exploration of OpenAI tools, models, and enterprise use cases● Hands-on projects with extensive code samples for practical learning● Real-world case studies with ethical AI insights and best practices Book DescriptionOpenAI is transforming industries with cutting-edge AI models, redefining how businesses operate, innovate, and compete. Mastering OpenAI for Enterprise is your definitive guide to harnessing the power of OpenAI’s groundbreaking technologies, including GPT models, DALL·E, and more. Designed for AI engineers, developers, and business leaders, this book offers an in-depth understanding of OpenAI’s tools and their real-world applications in enterprise settings. This hands-on guide provides a structured learning path, featuring practical code samples, step-by-step implementations, and industry case studies that bridge theory with practice. Whether you're building intelligent chatbots, leveraging AI for automation, or exploring generative AI for creative solutions, this book equips you with the knowledge and skills to seamlessly integrate OpenAI into your workflows. Ethical AI development and responsible implementation are also key themes, ensuring that innovation is balanced with accountability. As AI continues to evolve at an unprecedented pace, mastering OpenAI is no longer optional—it’s essential. The future belongs to those who can effectively leverage these technologies. Don’t get left behind—equip yourself with the expertise needed to stay ahead in the AI revolution. What you will learn● Gain expertise in OpenAI’s models, APIs, and enterprise applications● Build intelligent chatbots and virtual assistants using ChatGPT● Implement ethical AI practices for responsible and fair deployment● Optimize and deploy OpenAI models for scalable business solutions● Analyze real-world case studies to drive AI-powered innovation● Leverage generative AI to automate, enhance, and transform workflows
Ai Mastery For Business Success 3 Books In 1
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Author : AI Profit Lab
language : en
Publisher: AI Profit Lab
Release Date :
Ai Mastery For Business Success 3 Books In 1 written by AI Profit Lab and has been published by AI Profit Lab this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unlock Advanced Strategies to Scale Your Business, Boost Efficiency, and Thrive in the Artificial Intelligence Economy Master the strategies top professionals and businesses use to harness artificial intelligence and stay ahead of the competition. Are outdated processes, inefficiencies, and uncertainty about AI holding your business back? Struggling to attract clients, streamline operations, or implement AI effectively? The fast-changing AI landscape can feel overwhelming—but with the right strategies, it can become your greatest asset. This 3-in-1 guide combines The Complete Guide to Building and Running an AI Agency, Accelerate Your Business with AI, and The Complete Guide to Prompt Engineering to give you the tools to integrate AI, attract high-value clients, and thrive in an AI-driven world. Inside, you’ll learn: ✅ How to build and scale a profitable AI agency that stands out in the market. ✅ Proven strategies to streamline operations, reduce costs, and boost efficiency using AI. ✅ The art of prompt engineering to unlock AI’s full potential for superior results. ✅ Real-world case studies showcasing successful AI adoption. ✅ AI applications in marketing, HR, and customer experience to give your business a competitive edge. ✅ How to stay ahead of AI trends and adopt ethical practices for long-term success. Whether you're building an AI agency, integrating AI into your business, or mastering tools like ChatGPT, this guide has you covered. Stop falling behind—transform your business with AI today. Get your copy of AI Mastery for Business Success 3 Books in 1 and thrive in the AI economy! 🚀
Ai Collaboration And Mastery
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Author : Ronald Joseph Legarski, Jr
language : en
Publisher: SolveForce
Release Date : 2025-04-24
Ai Collaboration And Mastery written by Ronald Joseph Legarski, Jr and has been published by SolveForce this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.
AI Collaboration and Mastery: Building Synergy Between Humans and Machines is a forward-thinking guide that redefines what it means to work, learn, and lead in the era of artificial intelligence. Rather than focusing solely on automation or technological disruption, this book explores how AI can become a powerful partner in thought, creativity, decision-making, and design. Written for professionals, educators, technologists, policymakers, and entrepreneurs, this comprehensive guide maps out the architecture, ethics, tools, mindsets, and cultural shifts necessary to thrive in a future where intelligence is shared—not just stored in machines. Spanning practical use cases, prompt engineering strategies, collaborative models, and emerging frontiers like emotional AI, quantum computing, and child-AI co-learning, the book equips readers with actionable frameworks to build ethical, adaptive, and human-centered AI systems. Featuring: Role-specific collaboration templates Global perspectives on access and governance Real-world case studies across healthcare, education, finance, and design A-to-Z recursive thinking models for continuous learning Tools and exercises to cultivate AI fluency and strategic readiness AI Collaboration and Mastery isn’t just a manual—it’s a manifesto for a new era of co-evolving intelligence, where people and machines grow better together.
Mastering Large Language Models With Python
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Author : Raj Arun R
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-04-12
Mastering Large Language Models With Python written by Raj Arun R and has been published by Orange Education Pvt Ltd 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. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. 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 WILL YOU 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. ● Master prompt engineering techniques to fine-tune LLM outputs, enhancing quality and relevance for diverse use cases. ● Navigate the complex landscape of ethical AI development, prioritizing responsible practices to drive impactful technology adoption and advancement. WHO IS THIS BOOK FOR? This book is tailored for software engineers, data scientists, AI researchers, and technology leaders with a foundational understanding of machine learning concepts and programming. It's ideal for those looking to deepen their knowledge of Large Language Models and their practical applications in the field of AI. If you aim to explore LLMs extensively for implementing inventive solutions or spearheading AI-driven projects, this book is tailored to your needs. 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
Openai Development Guide
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-08
Openai Development Guide written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-08 with Computers categories.
"OpenAI Development Guide" The "OpenAI Development Guide" is a comprehensive, state-of-the-art resource for engineers, architects, researchers, and technology leaders seeking to master development with OpenAI’s pioneering artificial intelligence tools. It begins with a thoughtful exploration of OpenAI’s history and philosophy, providing essential insights into the evolution, architecture, and taxonomy of its large language models. Readers are introduced to foundational concepts such as transformer architectures, training strategies, and the diverse families of OpenAI models—including GPT, DALL-E, and Whisper—setting a robust groundwork for effective, responsible AI development. Moving from foundational knowledge to practical integration, the guide offers in-depth coverage of OpenAI API programming, advanced integration scenarios, and innovative prompt engineering techniques. It discusses best practices around secure authentication, optimization of API workflows, robust error handling, and cutting-edge methods for harnessing multi-modal capabilities. Detailed chapters on custom model training, fine-tuning workflows, and deployment strategies empower developers to build, evaluate, and optimize domain-specific AI solutions, while maintaining rigorous security, privacy, and ethical standards throughout. The latter sections focus on real-world considerations and advanced architectural patterns, presenting proven approaches for scaling AI applications, managing operational complexity, and maintaining high performance. Readers will find expert guidance on DevOps, monitoring, observability, and chaos engineering tailored to AI workloads. Case studies and future-facing discussions showcase the transformative power of OpenAI in applications such as conversational agents, document understanding, compliance automation, and knowledge graph enhancement, grounding the technology in both today’s best practices and tomorrow’s opportunities. This guide is an essential companion for anyone striving to stay at the forefront of generative AI innovation.
Azure Openai Essentials
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Author : Amit Mukherjee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-27
Azure Openai Essentials written by Amit Mukherjee 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 2025-02-27 with Computers categories.
Build innovative, scalable, and ethical AI solutions by harnessing the full potential of generative AI with this exhaustive guide Key Features Explore the capabilities of Azure OpenAI’s LLMs Craft end-to-end applications by utilizing the synergy of Azure OpenAI and Cognitive Services Design enterprise-grade GenAI solutions with effective prompt engineering, fine-tuning, and AI safety measures Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFind out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices. The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises. By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.What you will learn Understand the concept of large language models and their capabilities Interact with different models in Azure OpenAI using APIs or web interfaces Use content filters and mitigations to prevent harmful content generation Develop solutions with Azure OpenAI for content generation, summarization, semantic search, NLU, code and image generation and analysis Integrate Azure OpenAI with other Azure Cognitive services for enhanced functionality Apply best practices for data privacy, security, and prompt engineering with Azure OpenAI Who this book is for This book is for software developers, data scientists, AI engineers, ML engineers, system architects, LLM engineers, IT professionals, product managers, and business professionals who want to learn how to use Azure OpenAI to create innovative solutions with generative AI. To fully benefit from this book, you must have both an Azure subscription and Azure OpenAI access, along with knowledge of Python.
Data Science Interview Mastery 200 Generative Ai Deep Learning Nlp Q A To Ace Your Next Tech Interview
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Author : Ravi Kiran
language : en
Publisher: Ravi Kiran
Release Date :
Data Science Interview Mastery 200 Generative Ai Deep Learning Nlp Q A To Ace Your Next Tech Interview written by Ravi Kiran and has been published by Ravi Kiran this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
🚀 Master Your Next Data Science Interview with Generative AI, Deep Learning & NLP Expertise! Are you preparing for a data science, machine learning, or AI interview at top tech companies like FAANG, Microsoft, or cutting-edge startups? This book is your ultimate weapon to tackle the toughest questions on Generative AI, Deep Learning, and Natural Language Processing (NLP)—all in one place! 🔥 What’s Inside? ✔ 200+ Real Interview Questions – Carefully curated from top tech companies and industry trends. ✔ In-Depth Answers – Clear, concise, and expert-backed explanations to boost your confidence. ✔ Generative AI Focus – Master LLMs (GPT, Gemini, Claude), Diffusion Models, RAG, and Fine-Tuning. ✔ Deep Learning & NLP Deep Dive – Convolutional Networks (CNNs), Transformers, BERT, Attention Mechanisms, and more! ✔ FAANG & Big Tech Ready – Questions patterned after Google, Meta, OpenAI, and AI research labs. ✔ Practical Coding & Theory – Balance between conceptual understanding and hands-on implementation. 🎯 Who Is This Book For? Aspiring Data Scientists & ML Engineers prepping for interviews. AI Researchers & NLP Specialists expanding their knowledge. Tech Professionals transitioning into Generative AI & Deep Learning roles. Computer Science Students preparing for campus placements & internships. 💡 Why Choose This Guide? ✅ Up-to-date with 2024 AI trends – Covers the latest in ChatGPT, LangChain, Vector DBs, and MLOps. ✅ Structured Learning Path – From fundamentals to advanced system design & case studies. ✅ Proven Success – Designed by industry experts who’ve aced and conducted top-tier interviews. 📈 Don’t Leave Your Dream Job to Chance—Prepare Like a Pro! Grab your copy now and CRACK your next Data Science & AI Interview with confidence!
Cases On Ai Ethics In Business
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Author : Tennin, Kyla Latrice
language : en
Publisher: IGI Global
Release Date : 2024-05-17
Cases On Ai Ethics In Business written by Tennin, Kyla Latrice and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-17 with Business & Economics categories.
Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.
Mastering Reinforcement Learning With Python
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Author : Enes Bilgin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-12-18
Mastering Reinforcement Learning With Python written by Enes Bilgin 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 2020-12-18 with Computers categories.
Get hands-on experience in creating state-of-the-art reinforcement learning agents using TensorFlow and RLlib to solve complex real-world business and industry problems with the help of expert tips and best practices Key FeaturesUnderstand how large-scale state-of-the-art RL algorithms and approaches workApply RL to solve complex problems in marketing, robotics, supply chain, finance, cybersecurity, and moreExplore tips and best practices from experts that will enable you to overcome real-world RL challengesBook Description Reinforcement learning (RL) is a field of artificial intelligence (AI) used for creating self-learning autonomous agents. Building on a strong theoretical foundation, this book takes a practical approach and uses examples inspired by real-world industry problems to teach you about state-of-the-art RL. Starting with bandit problems, Markov decision processes, and dynamic programming, the book provides an in-depth review of the classical RL techniques, such as Monte Carlo methods and temporal-difference learning. After that, you will learn about deep Q-learning, policy gradient algorithms, actor-critic methods, model-based methods, and multi-agent reinforcement learning. Then, you'll be introduced to some of the key approaches behind the most successful RL implementations, such as domain randomization and curiosity-driven learning. As you advance, you’ll explore many novel algorithms with advanced implementations using modern Python libraries such as TensorFlow and Ray’s RLlib package. You’ll also find out how to implement RL in areas such as robotics, supply chain management, marketing, finance, smart cities, and cybersecurity while assessing the trade-offs between different approaches and avoiding common pitfalls. By the end of this book, you’ll have mastered how to train and deploy your own RL agents for solving RL problems. What you will learnModel and solve complex sequential decision-making problems using RLDevelop a solid understanding of how state-of-the-art RL methods workUse Python and TensorFlow to code RL algorithms from scratchParallelize and scale up your RL implementations using Ray's RLlib packageGet in-depth knowledge of a wide variety of RL topicsUnderstand the trade-offs between different RL approachesDiscover and address the challenges of implementing RL in the real worldWho this book is for This book is for expert machine learning practitioners and researchers looking to focus on hands-on reinforcement learning with Python by implementing advanced deep reinforcement learning concepts in real-world projects. Reinforcement learning experts who want to advance their knowledge to tackle large-scale and complex sequential decision-making problems will also find this book useful. Working knowledge of Python programming and deep learning along with prior experience in reinforcement learning is required.