Книги — Генеративный ИИ

RU
Solutions Architect’s Handbook: Архитектура и проектирование ИТ-решений, 3-е издание

Solutions Architect’s Handbook: Архитектура и проектирование ИТ-решений, 3-е издание

A

Саурабх Шривастава, Ниланджали Шривастав

AI и ML
RU
Генеративный ИИ на практике: трансформеры и диффузионные модели

Генеративный ИИ на практике: трансформеры и диффузионные модели

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Омар Сансевьеро, Педро Куэнка, Аполинарио Пассос, Джонатан Уитакер

AI и ML
RU
Фундаментальный подход к программной архитектуре. Паттерны, свойства, проверенные методы

Фундаментальный подход к программной архитектуре. Паттерны, свойства, проверенные методы

A

Марк Ричардс, Нил Форд

IT-менеджмент
RU
Строим LLM с нуля

Строим LLM с нуля

A

Себастьян Рашка

AI и ML
RU
Генеративный ИИ с обучением больших языковых моделей (LLM) для джунов

Генеративный ИИ с обучением больших языковых моделей (LLM) для джунов

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Шамим Бхуян, Тимур Исаченко

AI и ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI и ML
EN
Hands-On Generative AI with Transformers and Diffusion Models

Hands-On Generative AI with Transformers and Diffusion Models

A

Omar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker

AI и ML
EN
Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Modern Computer Vision with PyTorch. Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

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V Kishore Ayyadevara, Yeshwanth Reddy

AI и ML
EN
Generative AI for Software Development: Building Software Faster and More Effectively

Generative AI for Software Development: Building Software Faster and More Effectively

A

Sergio Pereira

AI и ML
EN
Transformers in Action

Transformers in Action

A

Nicole Koenigstein

AI и ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

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Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI и ML
EN
Introduction to Generative AI: Reliable, responsible, and real-world applications

Introduction to Generative AI: Reliable, responsible, and real-world applications

A

Numa Dhamani, Maggie Engler

AI и ML
EN
Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

A

Shantanu Baruah, Nitara Baruah

AI и ML
EN
Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

A

Michael Albada

AI и ML
EN
Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

A

Irena Cronin

AI и ML
EN
Generative AI for Game Development: Crafting Narrative Worlds with Machines

Generative AI for Game Development: Crafting Narrative Worlds with Machines

A

Shesh Narayan Gupta

AI и ML
EN
Agentic AI for Engineers: Architecting Goal-Driven Systems

Agentic AI for Engineers: Architecting Goal-Driven Systems

A

Dhivya Nagasubramanian

AI и ML
EN
Level Up with Azure AI Foundry: Understanding Innovative AI Development on Azure

Level Up with Azure AI Foundry: Understanding Innovative AI Development on Azure

A

Sagar Lad

DevOps и Инфраструктура
RU
RAG и генеративный ИИ. Создаем собственные RAG-пайплайны с помощью LlamaIndex, Deep Lake и Pinecon

RAG и генеративный ИИ. Создаем собственные RAG-пайплайны с помощью LlamaIndex, Deep Lake и Pinecon

A

Дэнис Ротман

AI и ML
RU
Анализ данных с помощью GenAI и Python

Анализ данных с помощью GenAI и Python

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Артур Гуджа, Марлена Сивяк, Мариан Сивяк

AI и ML
RU
Промт-инжиниринг для GenAI. Паттерны надежных запросов для качественных результатов

Промт-инжиниринг для GenAI. Паттерны надежных запросов для качественных результатов

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Джеймс Феникс, Майк Тейлор

AI и ML
EN
Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Using Stable Diffusion with Python: Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

A

Andrew Zhu (Shudong Zhu)

Языки программирования
EN
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

A

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

AI и ML
EN
Data Without Labels: Practical Unsupervised Machine Learning

Data Without Labels: Practical Unsupervised Machine Learning

A

Vaibhav Verdhan

AI и ML
EN
Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs at Scale

Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs at Scale

A

James Phoenix, Mike Taylor

AI и ML
EN
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

A

David Foster

AI и ML
EN
Data Storytelling with Altair and AI

Data Storytelling with Altair and AI

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Angelica Lo Duca

AI и ML
EN
Generative AI-Powered Assistant for Developers: Accelerate software development with Amazon Q Developer

Generative AI-Powered Assistant for Developers: Accelerate software development with Amazon Q Developer

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Behram Irani, Rahul Sonawane

AI и ML
EN
Synthetic Data and Generative AI

Synthetic Data and Generative AI

A

Vincent Granville

AI и ML
EN
Google Gemini for Python: Coding with Bard

Google Gemini for Python: Coding with Bard

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Oswald Campesato

AI и ML
EN
Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

A

Arindam Ganguly

AI и ML
EN
Effective Conversational AI: Chatbots that Work

Effective Conversational AI: Chatbots that Work

A

Andrew R. Freed, Cari Jacobs, Enikő Rózsa

AI и ML
EN
Generative AI Application Integration Patterns

Generative AI Application Integration Patterns

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Juan Pablo Bustos, Luis Lopez Soria

AI и ML
EN
Building Generative AI Applications with Opensource Libraries: Practical guide to implementing large language models

Building Generative AI Applications with Opensource Libraries: Practical guide to implementing large language models

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Srikannan Balakrishnan

AI и ML
EN
Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python

Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python

A

Raj Arun R

AI и ML
EN
Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI

Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI

A

Shivam R Solanki, Drupad K Khublani

AI и ML