“ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (new book on Amazon Audible & Kindle)

Friends, the new “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle) book is the latest entry to the “Transformative Innovation” series. AI in all of its manifestations represents a bona fide “generational change” of human society as we know it. AI, like many of the historic innovations of the past, has the unsurpassed potential to impact the human race for both good and evil.  All humanity has a vested interest in ensuring the impact of AI is positive. The alternative is unfathomable: A dystopian environment leading to the destruction of mankind in a Noahic antediluvian episode of human culture by the hands of man himself or the divine, omnipotent hand of our sovereign Creator.

This book has a “5 Star” rating on Amazon. Reader comment “If you're curious about how AI works, how it's changing the world, and what might happen next, this book is great. It's a bit like a guide that helps you understand this complex topic. It's a journey that could open your mind to new ideas and change how you see the world.”

Table of Contents:

I - Introduction

II - The Birth of Artificial Intelligence (AI)

III - AI Research and Development

IV - The AI Quantum Multiplier

V - Technological Synergy

VI - The Ethics of Artificial Intelligence

VII - The Global Race for AI Supremacy

VIII - Understanding Artificial General Intelligence (AGI)

IX - Approaches to AGI Development

X - The Era of Artificial Superintelligence (ASI)

XI - Ensuring Safety in AGI and ASI

XII  - AGI and ASI Impact on Society and the Economy

XIII - AI Singularity (“Technological Singularity”)

XIV - Looking Beyond the Singularity

XV - Conclusions

Our journey will examine the birth of AI, the pending transition to Artificial General Intelligence, the era of Artificial Super Intelligence and thoughts on the possibility of AI (or “Technological”) Singularity. Although some of these topics have verifiable, concrete answers, overall, the pendulum rapidly swings from the domain of the known to the domain of the unknown and speculative in the concluding chapters. Our commitment is to amplify the known (factual) elements of Artificial Intelligence and only when necessary delve into the realm of the unknown (subjective) aspects of AI Singularity … and beyond.

Join us for a journey that will transform your thinking and possibly your life!

Order today:

Audible (https://tinyurl.com/3pswj5sx) 

Kindle (https://www.amazon.com/dp/B0CG536WDN)   

3 Book Series: “Transformative Innovation”: 

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Thank you for dropping a brief review on this book’s Audible or Kindle page.

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9

Top 10 Countdown - Best AI Certifications, Degrees & Masterclasses (2024) - #8 "The Deep Learning with Tensorflow, Keras and PyTorch"

#8 - The Deep Learning with Tensorflow, Keras and PyTorch program is an introduction that brings the revolutionary machine-learning approach to life with interactive demos from the most popular deep learning library, TensorFlow, and its high-level API, Keras, as well as the hot new library PyTorch. Essential theory is whiteboarded to provide an intuitive understanding of deep learning’s underlying foundations; i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter Notebooks, this foundational knowledge empowers individuals with no previous understanding of neural networks to build powerful state-of-the-art deep learning models. Learn how to: Build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch, Understand the language and theory of artificial neural networks, Excel in machine vision, natural language processing, and reinforcement learning, Create algorithms with state-of-the-art performance by fine-tuning model architectures, and Complete your own Deep Learning projects. Core skills you will gain include: 1) Deep Learning and Artificial Intelligence, 2) How Deep Learning Works, 3) High-Performance Deep Learning Networks, 4) Convolutional Neural Networks, and 5) Moving Forward with Your Own Deep Learning Projects (Capstone Project).

Enroll today (teams & execs welcome): https://tinyurl.com/yspuw6j3 

Download your free Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide. (https://tinyurl.com/2sbw2y5p)

Transformative Innovation book series:

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team) [https://aimlacademy.blogspot.com] 

(#10) Top 10 Countdown - Best AI Certifications, Degrees & Masterclasses (2024) - "AWS Certified Machine Learning"

AWS Certified Machine Learning - AWS Machine Learning-Specialty (ML-S) Certification exam, AWS Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services, Machine Learning Modeling. What You Will Learn to perform data engineering tasks on AWS* How to use Exploratory Data Analysis (EDA) to solve machine learning problems and modeling tasks on the AWS platform, operationalize machine learning models and deploy them to production on the AWS platform, and how to think about the AWS Machine Learning-Specialty (ML-S) Certification exam to optimize for the best outcome. This 7+ hour Complete Video Course is fully geared toward the AWS Machine Learning-Specialty (ML-S) Certification exam. The course offers a modular lesson and sublesson approach, with a mix of screencasting and video teaching: 1) Data Engineering instruction covers the ingestion, cleaning, and maintenance of data on AWS.* Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services. 2) Machine Learning Modeling covers topics including feature engineering, performance metrics, overfitting, and algorithm selection, and 3) Operations covers deploying models, A/B testing, using AI services versus training your own model, and proper cost utilization.Each module offers module quizzes and a practice exam in multiple-choice format.

Download your free Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide. (https://tinyurl.com/2sbw2y5p)

Transformative Innovation book series:

 

1 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

2 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

3 - The Race for Quantum Computing (Audible) (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)

AI Software Engineer: ChatGPT, Bard and Beyond (audio & ebook)

Colleagues, the purpose of the “AI Software Engineer: ChatGPT, Bard and Beyond” (Interview Prodigy series) help software engineers and developers capture their ideal job offer and manage their medium-to-long-term career growth in the global artificial intelligence arena. We will focus on artificial intelligence software engineers and developers in this series. Artificial intelligence has proven to be a revolutionary part of the digital era. As a result, top tech giants like Amazon, Google, Apple, Facebook, Microsoft, and International Business Machines Corporation have been investing significantly in the research and development of artificial intelligence. As a result, these companies are contributing well to making A.I. more accessible for businesses. In addition, different companies have adopted A.I. technology for improved customer experience. For example, in March 2020, McDonald's invested $300 million to acquire an A.I. startup in Tel Aviv to provide a personalized experience for its customers using artificial intelligence. This was its most significant tech investment.

Order today: 

(Audible) https://tinyurl.com/mae9ku3b

(Kindle) https://tinyurl.com/27jux34w 

Transformative Innovation (book series):

 

1 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle) 

2 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

3 - The Race for Quantum Computing  (Audible) (Kindle) 

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9 

Top 3 Strategies to advance your TensorFlow Developer career

Colleagues, the average salary for a TensorFlow Developer is $132,215+ according to ZipRecruiter.  First, Get Certified: A high quality cert from a reputable vendor or professional association may boost your income by 5%-10%. In the Deep Learning with TensorFlow program you will master popular algorithms like CNN, RCNN, RNN, LSTM, RBM using the latest TensorFlow 2.0 package in Python. Deep Learning with Tensorflow, Keras and PyTorch - build deep learning models in all the major libraries: TensorFlow, Keras, and PyTorch along with artificial neural networks. And Advanced Deployment Scenarios with TensorFlow - gain expertise in TensorFlow Extended, TF Hub, Transfer learning, Inference, Module storage, Text based model, Word embeddings, Experimenting with embeddings, Colab1m, Classify cats and dogs and Transfer learning), 3 - Tensorboard and Federated Learning. Second, Get Published. Write a 1-2 page article on Best Practices or Industry Trends for Medium, LinkedIn Articles or Technology.org. Third, Get Connected. Join the TensorFlow Forum. Sign-up for the TensorFlow Community on GitHub and subscribe to the TensorFlow User Group on LinkedIn.

Enroll in one or more programs today (teams & execs welcome): 

• Deep Learning with TensorFlow

• Deep Learning with Tensorflow, Keras and PyTorch

• Advanced Deployment Scenarios with TensorFlow

Download your complimentary Python, TensorFlow & PyTorch - Career Transformation Guide.

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (share & subscribe) 

Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide

Colleagues, our updated Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Career opportunities, Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Forums and Communities. The Certification and Training programs are categorized by Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing and Computer Vision. Glassdoor estimates the average salary for a Machine Learning Engineer at $151,000 USD. Indeed lists some 2091 openings with an average Machine Learning Engineer nationwide salary of $160,320 USD. The San Francisco Bay Area is the high-end of the salary range at $193,485 with Eden Prairie, Minnesota at $106,780. SimplyHired now has 868,669 Computer Vision career listings alone.

Enroll today in industry-leading AI-ML-DL certification and training programs that will boost your career and income growth. Success awaits you!

Download your free Artificial Intelligence-Machine Learning-Deep Learning - Career Transformation Guide. (https://tinyurl.com/2sbw2y5p)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)