Hands-On Generative AI with Transformers and Diffusion...

Main
Computers - Artificial Intelligence (AI)
Hands-On Generative AI with...

Hands-On Generative AI with Transformers and Diffusion Models (First Early Release)

Pedro Cuenca, Apolinário Passos, Omar Sanseviero, Jonathan Whitaker

5.0 / 0

Колко ви харесва тази книга?

Какво е качеството на файла?

Изтеглете книгата за оценка на качеството

Какво е качеството на изтеглените файлове?

Категории:

Computers - Artificial Intelligence (AI)

Година:

2023

Издателство:

O'Reilly Media, Inc.

Език:

english

Страници:

62

ISBN 10:

1098149246

ISBN 13:

9781098149246

Файл:

EPUB, 5.77 MB

IPFS:

,

english, 2023

Четете Онлайн

Преобразуването в се извършва

Преобразуването в е неуспешно

Може да се интересувате от

Christian Brown — ChatGPT Prompts Mastering

Aymen El Amri @eon01 — OpenAI GPT For Python Developers

Mohamad Diab, Julian Herrera, Musical Sleep, Bob Chernow, Coco Mao — Stable Diffusion Prompt Book From OpenArt

Neil Dagger — The ChatGPT Millionaire: Making Money Online has never been this EASY

Sean A Williams — ChatGPT for Coders Unlock the Power of AI with ChatGPT: A Comprehensive Guide to Efficient and Effective Coding

Mike Loukides — What Are ChatGPT and Its Friends?

I. Almeida — AI Fundamentals for Business Leaders: Up to Date With Generative AI

Vincent Granville — Synthetic Data and Generative AI

Denis Rothman — Transformers for Natural Language Processing and Computer Vision, Third Edition

Jay Alammar, Maarten Grootendorst — Hands-On Large Language Models (for True Epub)

Harrison Kinsley, Daniel Kukieła — Neural Networks from Scratch in Python

Sinan Ozdemir — [EARLY RELEASE] Quick Start Guide to Large Language Models: Strategies and Best Practices for using ChatGPT and Other LLMs

Peter Lee, Carey Goldberg, Isaac Kohane — The AI Revolution in Medicine: GPT-4 and Beyond

Uday Kamath, Kenneth L. Graham, Wael Emara — Transformers for Machine Learning: A Deep Dive

Roshani Raut, Pranav D Pathak, Sachin R Sakhare, Sonali Patil — Generative Adversarial Networks and Deep Learning

Jyotika Singh — Natural Language Processing in the Real World: Text Processing, Analytics, and Classification

Lewis Tunstall, Leandro von Werra, Thomas Wolf — Natural Language Processing with Transformers: Building Language Applications with Hugging Face

Lewis Tunstall, Leandro von Werra, Thomas Wolf — Natural Language Processing with Transformers

Hala Nelson — Essential Math for AI: Next-Level Mathematics for Developing Efficient and Successful AI Systems

Hala Nelson — Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

Chip Huyen — Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Third Early Release)

Kyran Dale — Data Visualization with Python and JavaScript, 2nd Edition

Valliappa Lakshmanan, Sara Robinson, Michael Munn — Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Michael Munn, David Pitman — Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

Daniel Situnayake, Jenny Plunkett — AI at the Edge

Yada Pruksachatkun, Matthew McAteer, Subhabrata Majumdar — Practicing Trustworthy Machine Learning: Consistent, Transparent, and Fair AI Pipelines

David Foster — Generative Deep Learning, 2nd Edition (6th Early Release)

David Foster — Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play, 2nd Edition

Lewis Tunstall, Leandro von Werra, Thomas Wolf — Natural Language Processing with Transformers, Revised Edition

Suhas Pai — Designing Large Language Model Applications (First Early Release)

Olivier Caelen, Marie-Alice Blete — Developing Apps with GPT-4 and ChatGPT

Olivier Caelen, Marie-Alice Blete — Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Antje Barth & Chris Fregly & Shelbee Eigenbrode. — Generative AI on AWS (Early Release).

Chris Fregly, Antje Barth, Shelbee Eigenbrode — Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications

Kerrie Holley, Manish Mathur — LLMs and Generative AI for Healthcare (Early Release)

Kyle Stratis — What Is Generative AI?: A Generative AI Primer for Business and Technical Leaders

Musiol, Martin — Generative AI: Navigating the Course to the Artificial General Intelligence Future

Tom Taulli — Generative AI: How ChatGPT and Other AI Tools Will Revolutionize Business

David Foster — Generative Deep Learning

Deepak Kanungo — Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python (Fifth Early Release)

Jeff Prosise — Applied Machine Learning and AI for Engineers

Stephen Wolfram — What Is ChatGPT Doing ... and Why Does It Work?

Най-често използвани термини

Свързани списъци с книги