Building Business-Ready Generative AI Systems. Build Human-Centered Generative AI Systems with Agents, Memory, and LLMs for Enterprise Denis Rothman

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Autor:: Denis Rothman
Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:

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139,00 zł

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In today's rapidly evolving AI landscape, standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build advanced, agentic ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context-aware AI controllers. You'll design AI controller architectures with multi-user memory retention, enabling your system to dynamically adapt to diverse user and system inputs. You'll architect a Retrieval-Augmented Generation (RAG) system with Pinecone, designed to combine instruction-driven scenarios. Enhance your system’s intelligence with powerful multimodal capabilities—including image generation, voice interactions, and machine-driven reasoning—leveraging Chain-of-Thought orchestration to address complex, cross-domain automation challenges. Seamlessly integrate generative models like OpenAI’s suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, visualize complex scenarios, and connect to live external data all wrapped in a polished, investor-ready interface. By the end, you'll have built a GenAISys capable of deploying intelligent agents in your business environment.

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O autorze książki

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as an automated language teacher for Moët et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an advanced planning and scheduling (APS) solution used worldwide.

Denis Rothman - pozostałe książki

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Being the first book in the market to dive deep into the Transformers, it is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers using PyTorch, TensorFlow, Hugging Face, Trax, and AllenNLP.
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Transformers for Natural Language Processing. Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

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In today’s era of AI, accurately interpreting and communicating trustworthy, fair, and secure AI findings have become a crucial skill to master. This book bridges the gap between AI’s pitfalls and potential by helping you build the ability to leverage machine learning with Python to visualize and integrate AI.
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Hands-On Explainable AI (XAI) with Python. Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps

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Artificial Intelligence (AI) gets your system to think smart and learn intelligently. This book is packed with some of the smartest trending examples with which you will learn the fundamentals of AI. By the end, you will have acquired the basics of AI by practically applying the examples in this book.
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Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition

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Bestseller Nowość Promocja

Tę książkę docenią praktycy: analitycy danych i inżynierowie uczenia maszynowego. Opisano w niej różne architektury transformerów — od pierwszych modeli podstawowych po najnowsze osiągnięcia w generatywnej sztucznej inteligencji. Dzięki lekturze nauczysz się wstępnego szkolenia i dostrajania modeli LLM, a także pracy nad różnymi przypadkami użycia. Poznasz takie problemy jak halucynacje i zagrożenia prywatności, a następnie dowiesz się, jak je łagodzić. W książce pokazano ponadto, jak poprawiać dokładność modeli LLM i uzyskiwać większą kontrolę nad generowanymi przez nie wynikami. Nie zabrakło ciekawych szczegółów dotyczących modeli generatywnych opartych na transformerach, modeli wizyjnych i architektur multimodalnych, jak również opisu najlepszych praktyk.
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Transformery w przetwarzaniu języka naturalnego i widzenia komputerowego. Generatywna AI oraz modele LLM z wykorzystaniem Hugging Face, ChatGPT, GPT-4V i DALL-E 3. Wydanie III

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This book provides a comprehensive guide to leveraging the immense potential of transformers for NLP and vision tasks. It covers the architectural innovations that have led to unprecedented natural language capabilities, along with the associated risks and mitigation strategies.
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition

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Promocja

This hands-on book will help you make your machine learning models fairer, safer, and more reliable and in turn improve business outcomes. Every chapter introduces a new mission where you learn how to apply interpretation methods to realistic use cases with methods that work for any model type as well as methods specific for deep neural networks.
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Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition

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Promocja

Being the first book in the market to dive deep into the Transformers, this book is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers with Python, PyTorch, and TensorFlow
- PDF + ePub
Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition

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Promocja

Artificial Intelligence(AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book.
- PDF + ePub + Mobi
Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases

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(107,10 zł najniższa cena z 30 dni)

107.10 zł ~~119.00 zł (-10%)~~

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Szczegóły książki

Tytuł oryginału:: Building Business-Ready Generative AI Systems. Build Human-Centered Generative AI Systems with Agents, Memory, and LLMs for Enterprise
ISBN Ebooka:: 978-18-370-2068-3, 9781837020683
Data wydania ebooka :: 2025-07-18 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski