Generative AI From Beginner to Paid Professional, Part 1: An Introductory Microlearning Guide to Generative AI and Google Tools
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About this ebook
Unlock the Power of Generative AI and Accelerate Your Journey from Beginner to Paid Professional.
Are you eager to break into the world of Generative AI but unsure where to start? This step-by-step series is designed for anyone looking to quickly grasp the fundamentals of AI and harness its potential to enhance
Bolakale Aremu
Mi nombre es Bokale Ameru, también conocido como Ojula Bright. Yo soy el CEO de Ojula Technology Innovations, mi compañía editora. Soy un autor de publicaciones propias. Publico libros que escribí yo mismo, y que también han escrito mis clientes, amigos y miembros de mi familia. Mis antecedentes educativos son en el desarrollo d software. Fui desarrollador de software por 17 años, y he hecho muchas otras cosas también. He estado involucrado en procesos SDLC, ciencia de datos, seguridad y arquitectura de sistemas operativos, y muchos más. Mi mas reciente proyecto es computación sin servidores, donde he simplificado la construcción y ejecución de sistemas distribuidos. Siempre utilizo enfoques prácticos en mis proyectos y cursos. En mi tiempo libre amo escribir libros de ficción.
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Reviews for Generative AI From Beginner to Paid Professional, Part 1
1 rating1 review
- Rating: 5 out of 5 stars5/5
Oct 6, 2024
This is a very good AI book for beginner. I like it.
Book preview
Generative AI From Beginner to Paid Professional, Part 1 - Bolakale Aremu
Generative AI
from Beginner to
Paid Professional
Part 1
An Introductory Microlearning Guide to Generative AI and Google Tools
In this Series:
LangChain, Hugging Face API, Gemini Pro LLM Models, Vector Databases, Llama Index, LLM Generative AI Projects & Deployment
Written By
Bolakale Aremu
Generative AI From Beginner to Paid Professional, Part 1
Learn LangChain, Hugging Face API, LLM Generative AI Projects & Deployment
Copyright © AB Publisher LLC
All rights reserved
ISBN: 979-8-3304-5780-9
Published in the United States
Limit of Liability/Disclaimer of Warranty
Both the author and publisher have made diligent efforts to ensure the accuracy of the information and instructions provided. However, they disclaim any liability for errors or omissions, including any potential damages arising from the use or reliance on this content. Readers use the information and instructions provided at their own risk. If this book includes code samples or references to technology that are governed by open-source licenses or other intellectual property rights, it is the reader's responsibility to ensure compliance with those licenses and rights.
Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publisher.
Table of Contents
0. About The Series
0.1. What’s Covered in This Series
1. Introduction
1.1 What is Generative AI?
1.2 What is AI?
1.3. What is Machine Learning?
1.4 Deep Learning as a Subset of Machine Learning
1.5 How Generative AI Fits into AI
1.5.2. Formal Definition of Generative AI
1.5.3. Transformers
1.5.4. Prompt and Prompt Design
1.5.5. Model Types
1.5.6. Foundation Models
1.5.7. The Vertex AI Studio
1.5.8. The Vertex AI
1.5.9. Gemini
1.5.10. Wrap up
2. Generative AI Practice Exercise
2.1. Multiple Choice Questions
2.2. Correct Responses