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

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

Advanced Learning Algorithms (training)

Colleagues, in the “Advanced Learning Algorithms” program you will build and train a neural network with TensorFlow to perform multi-class classification, apply best practices for machine learning development so that your models generalize to data and tasks in the real world, and use decision trees and tree ensemble methods, including random forests and boosted trees. Acquire high-demand skills including: Random Forest Algorithm, Statistical Machine Learning, Deep Learning, Machine Learning Algorithms, Predictive Modeling, Artificial Neural Networks, Advanced Analytics, Business Analytics, Predictive Analytics, Decision Tree Learning, Machine Learning Methods, Data Science, Tensorflow, Machine Learning, Statistical Modeling, Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, and Supervised Learning. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. Training lessons address: 1) Neural Networks, 2) Neural network training, 3) Advice for applying machine learning, and 4) Decision trees.

Enroll today (teams & execs welcome): https://imp.i384100.net/POKMKj

Download your free AI-ML-DL - Career Transformation Guide.

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)

Unsupervised Learning, Recommenders, Reinforcement Learning (training)

Colleagues, in the “Unsupervised Learning, Recommenders, Reinforcement Learning” program you will use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection, build recommender systems with a collaborative filtering approach and a content-based deep learning method along with a deep reinforcement learning model. Develop highly marketable skills involving Algorithms, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Human Learning, Deep Learning, and Mathematics. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications.  This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. Skill-based training lessons involve: 1) Unsupervised learning, 2) Recommender systems, and 3) Reinforcement learning. 

Enroll today (teams & execs welcome): https://imp.i384100.net/09PyLM

Download your free AI-ML-DL - Career Transformation Guide.

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)

TensorFlow Developer Professional Certificate

Colleagues, in the “TensorFlow Developer Professional Certificate” you will learn to build AI apps with Tensorflow. Build, train, and optimize deep neural networks and dive deep into Computer Vision, Natural Language Processing, and Time Series Analysis, along with best practices and hands-on experience in one of the most in-demand deep learning frameworks. Gain expertise in: Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for computer vision applications. Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout. Build natural language processing systems using TensorFlow. Apply RNNs, GRUs, and LSTMs as you train them using text repositories. Acquire high-demand skills including: RNNs, Computer Vision, Convolutional Neural Network, Forecasting, Transfer Learning, Time Series, Machine Learning, Tokenization, Dropouts, Natural Language Processing, TensorFlow, Augmentation, Tensorflow, Data Augmentation, Text Vectorization, and Prediction. This program can help you prepare for the Google TensorFlow Certificate exam. Training modules address: 1) Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, 2) Convolutional Neural Networks in TensorFlow, 3) Natural Language Processing in TensorFlow, and 4) Sequences, Time Series and Prediction. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/3e5gan  

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

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

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

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

Generative AI for Software Development Skill Certificate

Colleagues, the new “Generative AI for Software Development Skill Certificate” program will boost your career and equip you to write practical prompt engineering and pair programming techniques with LLMs to write, test, and improve your code. As AI-powered coding tools are set to transform the industry, with Gartner predicting 70% adoption by platform engineering teams by 2027, this course will support you in learning these technologies at all stages of your career. Learn how LLMs work. By knowing how machine learning systems work, you’ll be able to use them more effectively to support your work as a developer. Experiment quickly. Using LLMs can speed up your ability to prototype and test new features, allowing you to quickly iterate and ship your code. Optimize your code quality. Get to production-ready code faster by working with an LLM to find and fix bugs. Team up with AI on engineering tasks. Break through roadblocks and with your team by leveraging an LLM’s knowledge of development roles and tasks. Gain highly marketable skills, involving: 1) Software Engineering, 2) Large Language Models, 3) Software Development, 4) Generative AI, 5) Machine Learning, 6) Prompting best practices for software development, 7) Assigning an LLM a role or persona, 8) Designing data structures for real world deployment at scale, 9) Analyzing code with an LLM, 10) Pair-coding with an LLM, 11) Debugging dependency conflicts using LLMs, 12) Writing comprehensive software tests with LLMs, 13) Generating clear, effective documentation with the help of LLMs, 14) Implementing automated testing frameworks, 15) Managing software dependencies with AI assistance, 16) Designing software applications with AI guidance, 17) Data serialization and configuration-driven development, 18) Optimizing database queries with AI assistance, 19) Implementing databases from scratch using LLMs, and 20) Applying Gang of Four design patterns using LLMs. Skill-based training lessons include: Introduction to Generative AI for Software Development, Team Software Engineering with AI, and AI-Powered Software and System Design.

Enroll today (teams & executives are welcome):  https://imp.i384100.net/LKP7g3 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

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

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

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

Machine Learning Specialization (Stanford)

Colleagues, in the “Machine Learning Specialization” from Stanford University and DeepLearning.AI you will master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng. Learn to build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression), train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods, apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection, and build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model. Gain high-demand skill in Logistic Regression, Artificial Neural Network, Linear Regression, Decision Trees and Recommender Systems. The four training modules include: 1) Supervised Machine Learning: Regression and Classification, 2) Advanced Learning Algorithms, 3) Unsupervised Learning, Recommenders, and 4) Reinforcement Learning.

Enroll today (teams & executives are welcome): imp.i384100.net/XYbQbo  

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

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

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

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