Chatgpt Und Large Language Models Frag Doch Einfach

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Chatgpt Und Large Language Models Frag Doch Einfach
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Author : Thomas Kessel
language : de
Publisher: UTB
Release Date : 2024
Chatgpt Und Large Language Models Frag Doch Einfach written by Thomas Kessel and has been published by UTB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Ki Herausforderungen F R Unternehmen
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Author : Roman Simschek
language : de
Publisher: UTB
Release Date : 2025
Ki Herausforderungen F R Unternehmen written by Roman Simschek and has been published by UTB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Selbstorganisiertes Lernen Mit Generativer Ki
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Author : Werner Sauter
language : de
Publisher: Schäffer-Poeschel
Release Date : 2025-04-28
Selbstorganisiertes Lernen Mit Generativer Ki written by Werner Sauter and has been published by Schäffer-Poeschel this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-28 with Business & Economics categories.
In einer digitalen Welt, die sich ständig wandelt, wird die Fähigkeit, selbstorganisiert in der Praxis zu lernen, zur Schlüsselkompetenz. Die Autoren sind Vordenker für innovative Lernsysteme und Digital Collaboration und zeigen, wie Sie in einer von KI geprägten Zukunft erfolgreich lernen und arbeiten können. Das Buch verbindet das Wissen um moderne Lerntechnologien mit bewährten didaktischen Methoden und bietet praktische Ansätze, wie Sie Ihre Lernprozesse selbstorganisiert gestalten. Wie können individuelle Ziele zur Entwicklung von Hard- und Soft-Skills gesetzt und durch dialogisches Lernen mit generativer KI erreicht werden? Wie können mit digitalen Plattformen und künstlicher Intelligenz personalisierte Lernpfade optimiert werden? Der »Dreiklang des Lernens«– allein, mit KI und mit anderen – wird zum Leitfaden der individuellen Lernreise. Zahlreiche Prompts und KI-gestützte Werkzeuge unterstützen dabei, dynamisch und flexibel auf neue Herausforderungen zu reagieren.
Mastering Chatgpt
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Author : Mostafa Gamil
language : en
Publisher: Mostafa Gamil
Release Date : 2023-01-09
Mastering Chatgpt written by Mostafa Gamil and has been published by Mostafa Gamil this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-09 with Computers categories.
Unlock the full potential of ChatGPT with 'Mastering ChatGPT: Unlocking the Full Potential of Large Language Models'. Written with the help of AI and ChatGPT, this book is the ultimate guide to mastering the capabilities and potential of this powerful technology. Discover the answers to questions like “Will ChatGPT replace employees in Businesses?” ”Will ChatGPT replace Software Professionals?” “Will ChatGPT replace Search Engines?”. With 100+ real chats (Prompts and Responses) with ChatGPT This book is the sequel to 'ChatGPT Basics: An Introduction to the Capabilities and Potential of Large Language Models' and part of the Mastering ChatGPT series, don't miss out on this opportunity to take your understanding of ChatGPT to the next level!
Quick Start Guide To Large Language Models
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Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2024-09-26
Quick Start Guide To Large Language Models written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-26 with Computers categories.
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI Agents Master advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAI Construct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasets Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5 Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind Diagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field." --Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Quick Start Guide To Large Language Models
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Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2023-09-20
Quick Start Guide To Large Language Models written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-20 with Computers categories.
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for retrieval-augmented generation Master advanced prompt engineering techniques like output structuring, chain-ofthought, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data Construct and fine-tune multimodal Transformer architectures using opensource LLMs Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind "By balancing the potential of both open- and closed-source models, Quick Start Guide to Large Language Models stands as a comprehensive guide to understanding and using LLMs, bridging the gap between theoretical concepts and practical application." --Giada Pistilli, Principal Ethicist at HuggingFace "A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field." --Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Chatgpt For Conversational Ai And Chatbots
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Author : Adrian Thompson
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-30
Chatgpt For Conversational Ai And Chatbots written by Adrian Thompson 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 2024-07-30 with Computers categories.
Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution Key Features Learn how to leverage ChatGPT to create innovative conversational AI solutions for your organization Harness LangChain and delve into step-by-step LLM application development for conversational AI Gain insights into security, privacy, and the future landscape of large language models and conversational AI Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.What you will learn Gain a solid understanding of ChatGPT and its capabilities and limitations Understand how to use ChatGPT for conversation design Discover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and tools Create a ChatGPT chatbot that can answer questions about your own data Develop a chatbot powered by ChatGPT API Explore the future of conversational AI, LLMs, and ChatGPT alternatives Who this book is for This book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential.
Chatgpt And Gemini Chat 101 A Beginner S Guide To Language Models
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Author : M.B. Chatfield
language : en
Publisher: M.B. Chatfield
Release Date :
Chatgpt And Gemini Chat 101 A Beginner S Guide To Language Models written by M.B. Chatfield and has been published by M.B. Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Embark on a journey to explore the fascinating world of language models, with ChatGPT and Gemini Chat as your guides. In this beginner-friendly guide, you will discover the basics of language models, including their history, development, and applications. You will also learn how to use ChatGPT and Gemini Chat, two powerful language models created by OpenAI and Google AI, respectively. Throughout the guide, you will: Gain a comprehensive understanding of language models and their role in artificial intelligence (AI). Explore the capabilities of ChatGPT and Gemini Chat, including their ability to generate human-quality text, translate languages, write different kinds of creative content, and answer your questions in an informative way. This book is perfect for anyone who wants to learn the basics of language models and how to use them. So what are you waiting for? Start your adventure into the world of language models today! With ChatGPT and Gemini Chat as your guides, you're sure to have an enriching and enlightening experience. Join us as we explore the endless possibilities of language models and their impact on the future. #AI #ArtificialIntelligence #MachineLearning #LanguageModels #ChatGPT #GeminiChat #FutureofTech #LLMBasics #BeginnerGuide #AIforEveryone #TextGeneration #MachineTranslation #CreativeAI #LLM #AIHeadtoHead #StrengthsandWeaknesses #AIApplications #EthicsofAI #MBChatfield #ChatGPT #Gemini
Chatgpt Vs Gemini Chat A Comparative Study On Language Model Performance
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Author : M.B. Chatfield
language : en
Publisher: M.B. Chatfield
Release Date :
Chatgpt Vs Gemini Chat A Comparative Study On Language Model Performance written by M.B. Chatfield and has been published by M.B. Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
ChatGPT and Gemini Chat are two of the most powerful language models available. They can be used to perform a variety of tasks, including generating human-quality text, translating languages, and answering questions. Both models have their own strengths and weaknesses. ChatGPT is generally better at generating creative text formats, such as poems, code, scripts, musical pieces, email, letters, etc., while Gemini Chat is better at answering questions in an informative way, even if they are open ended, challenging, or strange. This book provides a comprehensive overview of ChatGPT and Gemini Chat, including their strengths and weaknesses, how they work, and how to use them. It is a valuable resource for anyone who wants to learn more about these powerful language models. #AI #ArtificialIntelligence #MachineLearning #LanguageModels #ChatGPT #GeminiChat #FutureofTech #LLMBasics #BeginnerGuide #AIforEveryone #TextGeneration #MachineTranslation #CreativeAI #LLM #AIHeadtoHead #StrengthsandWeaknesses #AIApplications #EthicsofAI #MBChatfield #ChatGPT #Gemini
Artificial Intelligence And Large Language Models
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Author : Kutub Thakur
language : en
Publisher: CRC Press
Release Date : 2024-07-12
Artificial Intelligence And Large Language Models written by Kutub Thakur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Computers categories.
Having been catapulted into public discourse in the last few years, this book serves as an in-depth exploration of the ever-evolving domain of artificial intelligence (AI), large language models, and ChatGPT. It provides a meticulous and thorough analysis of AI, ChatGPT technology, and their prospective trajectories given the current trend, in addition to tracing the significant advancements that have materialized over time. Key Features: Discusses the fundamentals of AI for general readers Introduces readers to the ChatGPT chatbot and how it works Covers natural language processing (NLP), the foundational building block of ChatGPT Introduces readers to the deep learning transformer architecture Covers the fundamentals of ChatGPT training for practitioners Illustrated and organized in an accessible manner, this textbook contains particular appeal to students and course convenors at the undergraduate and graduate level, as well as a reference source for general readers.