Mastering Openai
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Mastering Openai
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Author : Angela Carol Hughes
language : en
Publisher: Hughes Angela Carol
Release Date : 2024-03-30
Mastering Openai written by Angela Carol Hughes and has been published by Hughes Angela Carol this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-30 with Computers categories.
Discover the full potential of artificial intelligence with "Mastering OpenAI: Techniques and Strategies for Effective Learning and Application." This comprehensive book, written by renowned AI experts, is a valuable resource for both professionals and beginners looking to delve into the world of OpenAI. It provides readers with the fundamental knowledge, tools, and methodologies needed to understand and harness the capabilities of OpenAI. OpenAI has revolutionized natural language processing and reinforcement learning, enabling developers to create intelligent algorithms. "Mastering OpenAI" unravels the intricacies of OpenAI and showcases its various modules, such as Jukebox, DALL-E, GPT-3, ChatGPT, and Codex. Each chapter explores these technologies, offering insights to enhance programming skills and deploy AI applications effectively. The book also includes detailed implementation strategies and comprehensive tutorials, allowing readers to gain hands-on experience. With practical code samples and development workflows, readers can strengthen their conceptual understanding while building real-world applications. They will become fluent in pivotal models like LLM and gain comprehension of reinforcement learning and meta-learning techniques. Ethical considerations are a crucial aspect of AI development, and "Mastering OpenAI" addresses this by dedicating a chapter to ethical challenges. The authors shed light on fairness, biases, and privacy concerns that can arise when implementing OpenAI models. By proactively addressing these concerns, readers can make informed decisions and ensure responsible AI development. The book also explores OpenAI's potential contributions to solving global challenges, sparking ideas that can transform industries and accelerate scientific breakthroughs. Case studies in domains like healthcare, education, climate modeling, and game strategy demonstrate the value and solutions OpenAI brings. "Mastering OpenAI" empowers readers to become intuitive problem solvers and creative developers in the field of artificial intelligence. It breaks down the complexity of OpenAI into digestible concepts, equipping readers with the knowledge and strategies to navigate its technologies. By staying at the forefront of this evolving field, readers can capitalize on new possibilities and make impactful contributions to society. If you're determined to explore the dimensions of OpenAI and expand your AI repertoire, "Mastering OpenAI: Techniques and Strategies for Effective Learning and Application" is your essential guide. Embark on an empowering journey and unlock the full potential of OpenAI.
From Novice To Expert With Openai
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Author : Ashok Brardwaj
language : en
Publisher: Ashok Brardwaj
Release Date : 2024-03-15
From Novice To Expert With Openai written by Ashok Brardwaj and has been published by Ashok Brardwaj this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-15 with Computers categories.
Embark on a comprehensive learning journey from novice to expert with "From Novice to Expert with OpenAI." This comprehensive guide offers a step-by-step approach to mastering OpenAI's technologies and becoming proficient in building intelligent applications. Whether you're new to AI or looking to expand your skills, this book provides a structured curriculum and hands-on exercises to help you progress from beginner to expert. From understanding the fundamentals of AI to implementing advanced models and algorithms, each chapter covers key concepts and techniques to help you build a solid foundation in OpenAI. With a focus on practical learning and real-world applications, this book equips you with the knowledge and skills needed to succeed in the dynamic field of AI with OpenAI.
Hands On Reinforcement Learning With Python
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Author : Sudharsan Ravichandiran
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-28
Hands On Reinforcement Learning With Python written by Sudharsan Ravichandiran 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 2018-06-28 with Computers categories.
A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python Key Features Your entry point into the world of artificial intelligence using the power of Python An example-rich guide to master various RL and DRL algorithms Explore various state-of-the-art architectures along with math Book Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence. What you will learn Understand the basics of reinforcement learning methods, algorithms, and elements Train an agent to walk using OpenAI Gym and Tensorflow Understand the Markov Decision Process, Bellman’s optimality, and TD learning Solve multi-armed-bandit problems using various algorithms Master deep learning algorithms, such as RNN, LSTM, and CNN with applications Build intelligent agents using the DRQN algorithm to play the Doom game Teach agents to play the Lunar Lander game using DDPG Train an agent to win a car racing game using dueling DQN Who this book is for If you’re a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book.
Python Reinforcement Learning
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Author : Sudharsan Ravichandiran
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-18
Python Reinforcement Learning written by Sudharsan Ravichandiran 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 2019-04-18 with Computers categories.
Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful libraries Key FeaturesYour entry point into the world of artificial intelligence using the power of PythonAn example-rich guide to master various RL and DRL algorithmsExplore the power of modern Python libraries to gain confidence in building self-trained applicationsBook Description Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. This Learning Path will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The Learning Path starts with an introduction to RL followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. You'll also work on various datasets including image, text, and video. This example-rich guide will introduce you to deep RL algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore TensorFlow and OpenAI Gym to implement algorithms that also predict stock prices, generate natural language, and even build other neural networks. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many of the recent advancements in RL. By the end of the Learning Path, you will have all the knowledge and experience needed to implement RL and deep RL in your projects, and you enter the world of artificial intelligence to solve various real-life problems. This Learning Path includes content from the following Packt products: Hands-On Reinforcement Learning with Python by Sudharsan RavichandiranPython Reinforcement Learning Projects by Sean Saito, Yang Wenzhuo, and Rajalingappaa ShanmugamaniWhat you will learnTrain an agent to walk using OpenAI Gym and TensorFlowSolve multi-armed-bandit problems using various algorithmsBuild intelligent agents using the DRQN algorithm to play the Doom gameTeach your agent to play Connect4 using AlphaGo ZeroDefeat Atari arcade games using the value iteration methodDiscover how to deal with discrete and continuous action spaces in various environmentsWho this book is for If you’re an ML/DL enthusiast interested in AI and want to explore RL and deep RL from scratch, this Learning Path is for you. Prior knowledge of linear algebra is expected.
Mastering Chatgpt
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Author : Ai Mastery Solutions
language : en
Publisher: Independently Published
Release Date : 2023-01-28
Mastering Chatgpt written by Ai Mastery Solutions and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-28 with categories.
"Mastering ChatGPT: Advanced Techniques for Generating Text with OpenAI" is the ultimate guide to harnessing the power of OpenAI's advanced language model, ChatGPT. Written by experienced AI experts, this book provides a comprehensive and step-by-step approach to utilizing ChatGPT's capabilities to generate text in a wide range of styles and formats. Starting with an introduction to the basics of the OpenAI API and how to set up ChatGPT on your computer, the book delves into advanced techniques such as fine-tuning the model on custom data, using conditional statements to control the output, generating text in specific styles or formats, generating code or other structured output, and incorporating domain-specific knowledge. The book also covers ethical considerations and ways to combine ChatGPT with other AI models or tools to create more powerful and versatile applications. With clear explanations, detailed examples, and practical tips, this book is the perfect resource for anyone looking to master the art of text generation with ChatGPT. In this book you will find: Step-by-step instructions for setting up ChatGPT on your computer Techniques for fine-tuning the model on custom data and using conditional statements to control the output Examples of using ChatGPT to generate text in specific styles or formats, such as poetry or news articles Information on using ChatGPT for language translation or text summarization Tips on how to generate creative or original content with ChatGPT, such as writing stories or jokes Strategies for incorporating domain-specific knowledge into prompts to generate more accurate and specialized output Explanation of ethical considerations when working with GPT-like models and ways to mitigate any potential harms With "Mastering ChatGPT: Advanced Techniques for Generating Text with OpenAI" you will have the knowledge and tools to take your text generation capabilities to the next level and explore new possibilities with this cutting-edge technology.
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.
Mastering Chatgpt A Comprehensive Guide To Prompt Engineering Coding And Monetization
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Author : Balaji murumbe
language : en
Publisher: Today's Q
Release Date : 2023-06-05
Mastering Chatgpt A Comprehensive Guide To Prompt Engineering Coding And Monetization written by Balaji murumbe and has been published by Today's Q this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
Description: "Mastering ChatGPT: A Comprehensive Guide to Prompt Engineering, Coding, and Monetization" is the ultimate resource for anyone looking to harness the power of ChatGPT and unlock its full potential. Whether you're a developer, entrepreneur, or AI enthusiast, this ebook will equip you with the knowledge and skills to excel in prompt engineering, coding, and monetization. In this comprehensive guide, you'll dive deep into the world of prompt engineering and learn how to craft effective prompts that elicit precise and tailored responses from ChatGPT. Discover advanced techniques, strategies, and best practices to optimize your inputs and achieve desired outcomes. With practical examples and real-world scenarios, you'll gain a solid foundation in prompt engineering and be able to apply these skills to a wide range of applications. But that's not all. This ebook also delves into the realm of coding with ChatGPT, showing you how to leverage its capabilities for various programming tasks. Explore the possibilities of generating code snippets, enhancing your software development workflows, and tapping into the potential of ChatGPT as a coding assistant. Unlock new avenues for efficiency and creativity in your coding endeavors. Furthermore, "Mastering ChatGPT" offers insights and strategies for monetizing your ChatGPT expertise. Learn how to transform your skills into revenue streams, whether by developing AI-powered products, offering consultancy services, or creating compelling content. Discover the lucrative opportunities that await you in the world of ChatGPT monetization and get practical tips for navigating this exciting landscape. With its comprehensive approach, expert guidance, and practical advice, "Mastering ChatGPT: A Comprehensive Guide to Prompt Engineering, Coding, and Monetization" is your definitive companion on the journey to mastering ChatGPT. Unleash the power of ChatGPT, unlock new possibilities, and achieve success in prompt engineering, coding, and monetization. Get ready to take your AI skills to the next level.
Mastering Kubernetes
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Author : Gigi Sayfan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-27
Mastering Kubernetes written by Gigi Sayfan 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 2018-04-27 with Computers categories.
Exploit design, deployment, and management of large-scale containers Key Features Explore the latest features available in Kubernetes 1.10 Ensure that your clusters are always available, scalable, and up to date Master the skills of designing and deploying large clusters on various cloud platforms Book Description Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes. What you will learn Architect a robust Kubernetes cluster for long-time operation Discover the advantages of running Kubernetes on GCE, AWS, Azure, and bare metal Understand the identity model of Kubernetes, along with the options for cluster federation Monitor and troubleshoot Kubernetes clusters and run a highly available Kubernetes Create and configure custom Kubernetes resources and use third-party resources in your automation workflows Enjoy the art of running complex stateful applications in your container environment Deliver applications as standard packages Who this book is for Mastering Kubernetes is for you if you are a system administrator or a developer who has an intermediate understanding of Kubernetes and wish to master its advanced features. Basic knowledge of networking would also be helpful. In all, this advanced-level book provides a smooth pathway to mastering Kubernetes.
Mastering Microsoft Dynamics 365 Business Central
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Author : Stefano Demiliani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-19
Mastering Microsoft Dynamics 365 Business Central written by Stefano Demiliani 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 2024-03-19 with Computers categories.
Utilize Microsoft Dynamics 365 Business Central's most recent capabilities to create bespoke business management solutions using best practices learned along the way from veterans in the industry. Purchase of the print or Kindle book includes a free PDF eBook Key Features Extend Business Central's functionalities through Azure, Power Platform, GitHub, and custom extensions Unlock the potential of data exchange and functionality expansion by integrating with external systems using APIs and OData Build reliable, maintainable, and continuously improving solutions while writing performant, well-structured code and using telemetries and DevOps Book DescriptionThis book dives straight into guiding you through the process of building real-world solutions with the AL language and Visual Studio Code. It emphasizes best practices and extensibility patterns to ensure your extensions are well-structured, maintainable, and meet the needs of modern businesses. You'll learn advanced AL techniques, report creation methods, debugging strategies, and how to leverage telemetries for monitoring. Additionally, it covers performance optimization practices and API integration to help you create efficient and interconnected solutions. With a focus on extension development, this new edition allows you to jump right into coding without spending time on setup processes. This book introduces new chapters covering essential tasks that Business Central developers frequently encounter, such as file handling and printing management. Finally, the book expands its scope by including chapters on various integration aspects, including VS Code extensions, GitHub DevOps, Azure services, and Power Platform integrations. We’ll wrap up by covering Copilot capabilities in Business Central and how you can create your own generative AI copilots. By mastering these concepts and techniques, you'll be well-equipped to create powerful and customized solutions that extend the capabilities of Dynamics 365 Business Central.What you will learn Developing a customized solution for Dynamics 365 Business Central Writing performant code following extensibility patterns Handling reporting, files, and printing on a cloud environment Handling Business Central telemetries with Azure Writing APIs and integrations for Dynamics 365 Business Central Applying DevOps and CI/CD to development projects by using GitHub Integrating Business Central with Power Platform Publishing your solutions to AppSource marketplace Manage Copilot capabilities and create your own generative AI copilot Who this book is for This book is intended for new developers who want to get started with Dynamics 365 Business Central. Professionals with expertise will also benefit from this book by enhancing their knowledge and comprehension of Dynamics 365 Business Central development platform and best practices
Openai Api Cookbook
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Author : Henry Habib
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-12
Openai Api Cookbook written by Henry Habib 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 2024-03-12 with Computers categories.
Explore the vast possibilities of integrating the ChatGPT API across various domains, from creating simple wrappers to developing knowledge-based assistants, multi-model applications, and conversational interfaces Key Features Understand the different elements, endpoints, and parameters of the OpenAI API Build tailored intelligent applications and workflows with the OpenAI API Create versatile assistants with for a multitude of tasks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs artificial intelligence continues to reshape industries with OpenAI at the forefront of AI research, knowing how to create innovative applications such as chatbots, virtual assistants, content generators, and productivity enhancers is a game-changer. This book takes a practical, recipe-based approach to unlocking the power of OpenAI API to build high-performance intelligent applications in diverse industries and seamlessly integrate ChatGPT in your workflows to increase productivity. You’ll begin with the OpenAI API fundamentals, covering setup, authentication, and key parameters, and quickly progress to the different elements of the OpenAI API. Once you’ve learned how to use it effectively and tweak parameters for better results, you’ll follow advanced recipes for enhancing user experience and refining outputs. The book guides your transition from development to live application deployment, setting up the API for public use and application backend. Further, you’ll discover step-by-step recipes for building knowledge-based assistants and multi-model applications tailored to your specific needs. By the end of this book, you’ll have worked through recipes involving various OpenAI API endpoints and built a variety of intelligent applications, ready to apply this experience to building AI-powered solutions of your own.What you will learn Grasp the fundamentals of the OpenAI API Navigate the API’s capabilities and limitations of the API Set up the OpenAI API with step-by-step instructions, from obtaining your API key to making your first call Explore advanced features such as system messages, fine-tuning, and the effects of different parameters Integrate the OpenAI API into existing applications and workflows to enhance their functionality with AI Design and build applications that fully harness the power of ChatGPT Who this book is for This book is perfect for developers, data scientists, AI/tech enthusiasts, citizen developers, and no-code aficionados keen on using and mastering the OpenAI API. Whether you’re a beginner or experienced professional, this book is ideal for quickly creating intelligent applications such as chatbots or content generators, through step-by-step recipes that take you from the basics of the API to creating sophisticated applications systematically. The OpenAI API is accessed with Python in this book, so familiarity with Python and APIs is preferred but not mandatory.