Fine Tune Llama 3

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Fine-tune Llama 3

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 64 pages
Book Rating : 4./5 ( download)

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Book Synopsis Fine-tune Llama 3 by : StoryBuddiesPlay

Download or read book Fine-tune Llama 3 written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-05-03 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the true power of Llama 3, the revolutionary 8-billion parameter language model, by mastering the art of fine-tuning. This comprehensive guide empowers you to transform Llama 3 from a general language master into a domain-specific expert, tailored to your precise needs. Discover how to: Identify your target domain: Explore the vast potential of fine-tuning Llama 3 across diverse fields like code generation, translation, question answering, creative writing, and data analysis. Prepare your data: Learn the crucial steps for building a high-quality dataset that optimizes the fine-tuning process and ensures the model's success. Choose the right tools: Navigate the landscape of popular tools and frameworks like Hugging Face, MONSTERAPIs, and Unsloth to streamline your fine-tuning journey. Implement supervised fine-tuning: Follow a step-by-step guide to set up and execute the training process, including defining tasks, preparing data, and selecting appropriate loss functions. Refine with preference alignment: Go beyond supervised learning by incorporating human feedback through techniques like Reinforcement Learning with Human Feedback (RLHF) and Direct Preference Optimization (DPO) to further enhance accuracy and address potential biases. Evaluate and monitor performance: Employ key metrics like accuracy, precision, recall, perplexity, and human evaluation to ensure your fine-tuned model delivers exceptional results. Deploy and integrate: Learn various deployment options like cloud platforms, model serving frameworks, and custom solutions, and discover strategies for integrating your fine-tuned Llama 3 seamlessly into your workflow or application. This guide is your roadmap to unlocking the full potential of Llama 3. Take control, transform it into a powerful tool for your specific domain, and revolutionize your workflow with the power of fine-tuned language intelligence.

Advanced Techniques in LLaMA 3 for Developers

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 81 pages
Book Rating : 4./5 ( download)

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Book Synopsis Advanced Techniques in LLaMA 3 for Developers by : StoryBuddiesPlay

Download or read book Advanced Techniques in LLaMA 3 for Developers written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-06-03 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Power of LLaMA 3: A Comprehensive Guide for Developers and Enthusiasts Are you looking to harness the potential of LLaMA 3, one of the most powerful large language models (LLMs) to date? This comprehensive guide delves deep into its inner workings, equipping you with the knowledge and techniques to unlock its potential for various applications. Master the Fundamentals: Gain a solid understanding of LLaMA 3's architecture and how it processes complex textual data. Explore various fine-tuning techniques to tailor LLaMA 3 for specific tasks, from question answering to code generation. Become a Prompt Engineering Expert: Craft effective prompts that guide LLaMA 3 towards generating the desired creative text formats, including poems, scripts, and even code. Learn advanced prompt engineering strategies to control the style, tone, and content of the generated text. Push the Boundaries of Language Processing: Discover how LLaMA 3 is evolving beyond simple pattern recognition. Explore techniques for symbolic reasoning and knowledge integration, enabling the model to tackle complex problems and make logical deductions. Ensure Responsible and Safe Use: Understand and mitigate potential biases within LLaMA 3 to promote fair and ethical applications. Implement fact-checking mechanisms and establish safeguards to prevent misuse of the model's capabilities. Embrace the Future of AI: Explore the exciting potential of LLaMA 3 in multimodal learning, where it can interact with the world through images, audio, and other data formats. Delve into the advancements of explainable AI, allowing you to understand how LLaMA 3 arrives at its outputs, fostering trust and transparency. This guide is your ultimate resource for: Developers seeking to integrate LLaMA 3 into their applications. Researchers eager to explore the frontiers of large language models. Enthusiasts curious about the future of AI and its impact on various fields. In addition to this comprehensive guide, we offer valuable resources to empower your LLaMA 3 journey: Research papers for a deeper understanding of the model's architecture and training process. Tutorials and workshops to equip you with practical skills in prompt engineering and fine-tuning. Online communities to connect with other LLaMA 3 enthusiasts and share knowledge. Code repositories to access open-source implementations and tools for working with LLaMA 3. Don't wait! Unleash the potential of LLaMA 3 and become a part of the revolution in human-machine collaboration. Let's embark on this exploration of language, creativity, and the future of AI together.

Quick Start Guide to Large Language Models

Author : Sinan Ozdemir
Publisher : Addison-Wesley Professional
ISBN 13 : 013534655X
Total Pages : 584 pages
Book Rating : 4.1/5 (353 download)

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Book Synopsis Quick Start Guide to Large Language Models by : Sinan Ozdemir

Download or read book Quick Start Guide to Large Language Models written by Sinan Ozdemir and published by Addison-Wesley Professional. This book was released on 2024-09-26 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky

Download Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky PDF Online Free

Author : Andrew M. Olney
Publisher : Springer Nature
ISBN 13 : 3031643151
Total Pages : 552 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky by : Andrew M. Olney

Download or read book Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky written by Andrew M. Olney and published by Springer Nature. This book was released on with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Natural Language Processing and Chinese Computing

Author : Fei Liu
Publisher : Springer Nature
ISBN 13 : 3031446992
Total Pages : 438 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Natural Language Processing and Chinese Computing by : Fei Liu

Download or read book Natural Language Processing and Chinese Computing written by Fei Liu and published by Springer Nature. This book was released on 2023-10-07 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the 12th National CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2023, held in Foshan, China, during October 12–15, 2023. The ____ regular papers included in these proceedings were carefully reviewed and selected from 478 submissions. They were organized in topical sections as follows: dialogue systems; fundamentals of NLP; information extraction and knowledge graph; machine learning for NLP; machine translation and multilinguality; multimodality and explainability; NLP applications and text mining; question answering; large language models; summarization and generation; student workshop; and evaluation workshop.

Conceptual Modeling

Author : Wolfgang Maass
Publisher : Springer Nature
ISBN 13 : 3031758722
Total Pages : 457 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Conceptual Modeling by : Wolfgang Maass

Download or read book Conceptual Modeling written by Wolfgang Maass and published by Springer Nature. This book was released on with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt:

LLM Engineer's Handbook

Author : Paul Iusztin
Publisher : Packt Publishing Ltd
ISBN 13 : 1836200064
Total Pages : 523 pages
Book Rating : 4.8/5 (362 download)

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Book Synopsis LLM Engineer's Handbook by : Paul Iusztin

Download or read book LLM Engineer's Handbook written by Paul Iusztin and published by Packt Publishing Ltd. This book was released on 2024-10-22 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices Key Features Build and refine LLMs step by step, covering data preparation, RAG, and fine-tuning Learn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production Utilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications Book DescriptionArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.What you will learn Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine it with the help of hands-on examples Get started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring Perform supervised fine-tuning and LLM evaluation Deploy end-to-end LLM solutions using AWS and other tools Design scalable and modularLLM systems Learn about RAG applications by building a feature and inference pipeline Who this book is for This book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios

Applications of Generative AI

Author : Zhihan Lyu
Publisher : Springer Nature
ISBN 13 : 3031462386
Total Pages : 607 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Applications of Generative AI by : Zhihan Lyu

Download or read book Applications of Generative AI written by Zhihan Lyu and published by Springer Nature. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Frontiers in Artificial Intelligence

Author : Toyotaro Suzumura
Publisher : Springer Nature
ISBN 13 : 9819730767
Total Pages : 321 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis New Frontiers in Artificial Intelligence by : Toyotaro Suzumura

Download or read book New Frontiers in Artificial Intelligence written by Toyotaro Suzumura and published by Springer Nature. This book was released on with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Python 3 and Machine Learning Using ChatGPT/GPT-4

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501520113
Total Pages : 285 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 and Machine Learning Using ChatGPT/GPT-4 by : Oswald Campesato

Download or read book Python 3 and Machine Learning Using ChatGPT/GPT-4 written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-17 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to bridge the gap between theoretical knowledge and practical application in the fields of Python programming, machine learning, and the innovative use of ChatGPT-4 in data science. The book is structured to facilitate a deep understanding of several core topics. It begins with a detailed introduction to Pandas, a cornerstone Python library for data manipulation and analysis. Next, it explores a variety of machine learning classifiers from kNN to SVMs. In later chapters, it discusses the capabilities of GPT-4, and how its application enhances traditional linear regression analysis. Finally, the book covers the innovative use of ChatGPT in data visualization. This segment focuses on how AI can transform data into compelling visual stories, making complex results accessible and understandable. It includes material on AI apps, GANs, and DALL-E. Companion files are available for downloading with code and figures from the text.

Generative AI in Action

Author : Amit Bahree
Publisher : Simon and Schuster
ISBN 13 : 1633436942
Total Pages : 462 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Generative AI in Action by : Amit Bahree

Download or read book Generative AI in Action written by Amit Bahree and published by Simon and Schuster. This book was released on 2024-10-29 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools

Python 3 Data Visualization Using Chatgpt / Gpt-4

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501518801
Total Pages : 314 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Data Visualization Using Chatgpt / Gpt-4 by : Oswald Campesato

Download or read book Python 3 Data Visualization Using Chatgpt / Gpt-4 written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-12 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures

Natural Language Processing and Chinese Computing

Author : Derek F. Wong
Publisher : Springer Nature
ISBN 13 : 9819794439
Total Pages : 531 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Natural Language Processing and Chinese Computing by : Derek F. Wong

Download or read book Natural Language Processing and Chinese Computing written by Derek F. Wong and published by Springer Nature. This book was released on with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Python 3 Data Visualization Using ChatGPT / GPT-4

Author : Oswald Campesato
Publisher : Stylus Publishing, LLC
ISBN 13 : 1501518852
Total Pages : 310 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Data Visualization Using ChatGPT / GPT-4 by : Oswald Campesato

Download or read book Python 3 Data Visualization Using ChatGPT / GPT-4 written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2023-12-12 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to show readers the concepts of Python 3 programming and the art of data visualization. It also explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories. Chapter 1 introduces the essentials of Python, covering a vast array of topics from basic data types, loops, and functions to more advanced constructs like dictionaries, sets, and matrices. In Chapter 2, the focus shifts to NumPy and its powerful array operations, leading into data visualization using prominent libraries such as Matplotlib. Chapter 6 includes Seaborn's rich visualization tools, offering insights into datasets like Iris and Titanic. Further, the book covers other visualization tools and techniques, including SVG graphics, D3 for dynamic visualizations, and more. Chapter 7 covers information about the main features of ChatGPT and GPT-4, as well as some of their competitors. Chapter 8 contains examples of using ChatGPT in order to perform data visualization, such as charts and graphs that are based on datasets (e.g., the Titanic dataset). Companion files with code, datasets, and figures are available for downloading. From foundational Python concepts to the intricacies of data visualization, this book is ideal for Python practitioners, data scientists, and anyone in the field of data analytics looking to enhance their storytelling with data through visuals. It's also perfect for educators seeking material for teaching advanced data visualization techniques. FEATURES Explores cutting-edge techniques using ChatGPT/GPT-4 in harmony with Python for generating visuals that tell more compelling data stories Contains detailed tutorials that guide you through the creation of complex visuals Tackles actual data scenarios and builds your expertise as you apply learned concepts to real datasets Features data manipulation and cleaning with Pandas to prepare flawless datasets ready for visualization Includes companion files with source code, data sets, and figures

Python 3 Using Chatgpt / Gpt-4

Author : Oswald Campesato
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 1501518739
Total Pages : 202 pages
Book Rating : 4.5/5 (15 download)

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Book Synopsis Python 3 Using Chatgpt / Gpt-4 by : Oswald Campesato

Download or read book Python 3 Using Chatgpt / Gpt-4 written by Oswald Campesato and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-12-12 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. Chapter One begins with an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode and UTF-8 handling, and text manipulation techniques. Later, the book covers loops, conditional logic, and reserved words in Python. You will also see how to handle user input, manage exceptions, and work with command-line arguments. Next, the text transitions to the realm of Generative AI, discussing its distinction from Conversational AI. Popular platforms and models, including ChatGPT, GPT-4, and their competitors, are presented to give readers an understanding of the current AI landscape. The book also sheds light on the capabilities of ChatGPT, its strengths, weaknesses, and potential applications. In addition, you will learn how to generate a variety of Python 3 code samples via ChatGPT using the "Code Interpreter" plugin. Code samples and figures from the book are available for downloading. In essence, the book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently. FEATURES Includes a chapter on how to generate a variety of Python 3 code samples via ChatGPT using the "Code Interpreter" plugin Covers basic concepts of Python 3 such as loops, conditional logic, reserved words, user input, manage exceptions, work with command-line arguments, and more Includes companion files for downloading with source code and figures

Health Information Processing. Evaluation Track Papers

Author : Hua Xu
Publisher : Springer Nature
ISBN 13 : 9819717175
Total Pages : 250 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Health Information Processing. Evaluation Track Papers by : Hua Xu

Download or read book Health Information Processing. Evaluation Track Papers written by Hua Xu and published by Springer Nature. This book was released on with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence (AI) in Forensic Sciences

Author : Zeno Geradts
Publisher : John Wiley & Sons
ISBN 13 : 1119813344
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligence (AI) in Forensic Sciences by : Zeno Geradts

Download or read book Artificial Intelligence (AI) in Forensic Sciences written by Zeno Geradts and published by John Wiley & Sons. This book was released on 2023-08-22 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series ‘Forensic Science in Focus’, Artificial Intelligence (AI) in Forensic Sciences includes information on: Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.