Train Your Own Gpt
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Train Your Own Gpt
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Author : MrExcel's Holy Macro! Books
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-10-29
Train Your Own Gpt written by MrExcel's Holy Macro! Books 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 2025-10-29 with Computers categories.
Learn to train ChatGPT to think like you by building personalized GPTs. Discover how to fine-tune behavior, integrate with everyday tools, and automate workflows using APIs, Excel, and Copilot for advanced AI performance. Key Features Comprehensive roadmap to designing and refining AI personalities for real applications Clear connection between GPT customization, automation, and professional productivity Blend of technical guidance and creative strategies for building practical AI assistants Book DescriptionThis book offers a hands-on guide to building GPTs that learn, adapt, and respond in your unique style. It begins by breaking down how ChatGPT understands instructions, then guides readers through training personalized GPTs that automate tasks, create structured outputs, and integrate across business applications. Readers gain practical experience in linking GPTs with Excel, Power Automate, and APIs while exploring advanced memory, context, and action features. With clear guidance, examples, and exercises, the book bridges theory and application to make AI personalization achievable for any professional. By the end, readers can confidently design custom AI agents that extend beyond ChatGPT’s limits—capable of mirroring workflows, preferences, and communication style for real-world automation and creativity.What you will learn Build and train personalized GPTs that reflect your thinking Integrate GPTs with Excel, Power Automate, and APIs seamlessly Customize GPT responses using prompt and memory techniques Automate research, writing, and creative content generation Extend GPT functionality with custom actions and workflows Create AI agents capable of adapting to your unique style Who this book is for This book is ideal for professionals, developers, and content creators who want to personalize AI interactions or automate workflows. Basic knowledge of ChatGPT, Excel, or API usage is helpful but not required. Readers should have curiosity about prompt engineering and building AI systems that adapt to human style and context.
Mastering Transformers
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Author : Savaş Yıldırım
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-03
Mastering Transformers written by Savaş Yıldırım 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 2024-06-03 with Computers categories.
Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectively Key Features Understand the complexity of deep learning architecture and transformers architecture Create solutions to industrial natural language processing (NLP) and computer vision (CV) problems Explore challenges in the preparation process, such as problem and language-specific dataset transformation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems. Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. You’ll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, you’ll focus on using vision transformers to solve computer vision problems. Finally, you’ll discover how to harness the power of transformers to model time series data and for predicting. By the end of this transformers book, you’ll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.What you will learn Focus on solving simple-to-complex NLP problems with Python Discover how to solve classification/regression problems with traditional NLP approaches Train a language model and explore how to fine-tune models to the downstream tasks Understand how to use transformers for generative AI and computer vision tasks Build transformer-based NLP apps with the Python transformers library Focus on language generation such as machine translation and conversational AI in any language Speed up transformer model inference to reduce latency Who this book is for This book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this book’s hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required.
Deep Learning With Jax
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Author : Grigory Sapunov
language : en
Publisher: Simon and Schuster
Release Date : 2024-12-03
Deep Learning With Jax written by Grigory Sapunov and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-03 with Computers categories.
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax • Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. About the technology Google’s JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you’ll discover how JAX’s unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You’ll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX’s functional programming mindset improves composability and parallelization. What's inside • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax About the reader For intermediate Python programmers who are familiar with deep learning. About the author Grigory Sapunov holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning. The technical editor on this book was Nicholas McGreivy. Table of Contents Part 1 1 When and why to use JAX 2 Your first program in JAX Part 2 3 Working with arrays 4 Calculating gradients 5 Compiling your code 6 Vectorizing your code 7 Parallelizing your computations 8 Using tensor sharding 9 Random numbers in JAX 10 Working with pytrees Part 3 11 Higher-level neural network libraries 12 Other members of the JAX ecosystem A Installing JAX B Using Google Colab C Using Google Cloud TPUs D Experimental parallelization
Custom Gpt Mastery
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Author : Carlos Cabezas López
language : en
Publisher: Carlos ignacio
Release Date : 2025-08-26
Custom Gpt Mastery written by Carlos Cabezas López and has been published by Carlos ignacio this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-26 with Business & Economics categories.
Custom GPT Mastery is more than just another book about ChatGPT. It’s a hands-on manual for anyone who wants to stop experimenting and start building with AI. This book takes you step by step through the process of: Designing your own Custom GPTs with clear instructions and purpose. Giving them a unique “voice” and role to match your goals. Connecting your GPT to powerful external tools like Zapier, Make, and Airtable. Automating workflows and tasks without writing a single line of code. Turning your Custom GPT into a product, service, or digital asset that generates income. Understanding both the potential and the limitations of this technology. With concrete examples, a complete end-to-end case study, and a direct, no-fluff approach, this book provides exactly what you need to move from theory to action. You don’t need to be a programmer. You just need an idea—and the will to bring it to life.
La Record
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Author :
language : en
Publisher:
Release Date : 1995
La Record written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Libraries categories.
Audiovisual Instruction
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Author :
language : en
Publisher:
Release Date : 1956
Audiovisual Instruction written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1956 with Audio-visual education categories.
Oxford Basic English Dictionary
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Author : Shirley Burridge
language : en
Publisher:
Release Date : 1981
Oxford Basic English Dictionary written by Shirley Burridge and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Reference categories.
Farm Chemicals
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Author :
language : en
Publisher:
Release Date : 1956
Farm Chemicals written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1956 with Agricultural chemicals categories.
Trains
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Author :
language : en
Publisher:
Release Date : 1957
Trains written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1957 with Locomotives categories.
The Saturday Evening Post
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Author :
language : en
Publisher:
Release Date : 1917
The Saturday Evening Post written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1917 with Periodicals categories.