“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 

Mathematics for Machine Learning Specialization

Colleagues, in the “Mathematics for Machine Learning Specialization” from the Imperial College London you will gain high-demand skills with Eigenvalues And Eigenvectors, Principal Component Analysis (PCA), Multivariable Calculus, and Linear Algebra. Get up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.In the first course on Linear Algebra we look at what linear algebra is and how it relates to data. Then we look through what vectors and matrices are and how to work with them. The second course, Multivariate Calculus, builds on this to look at how to optimize fitting functions to get good fits to data. It starts from introductory calculus and then uses the matrices and vectors from the first course to look at data fitting. The third course, Dimensionality Reduction with Principal Component Analysis, uses the mathematics from the first two courses to compress high-dimensional data. This course is of intermediate difficulty and will require Python and numpy knowledge. At the end of this specialization you will have gained the prerequisite mathematical knowledge to continue your journey and take more advanced courses in machine learning. Skill-based training modules address: 1) Machine Learning: Linear Algebra, 2) Machine Learning: Multivariate Calculus, and 3) Machine Learning: PCA. 

Enroll today (teams & execs welcome): https://imp.i384100.net/APPX1N 

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) or (Kindle) 

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

IBM AI Engineering Professional Certificate

Colleagues, the “IBM AI Developer Professional Certificate” program will equip you with sought-after expertise in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. AI Developers are prized software engineers who design, develop, and implement AI and genAI powered apps And virtual assistants. Master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript and Python programming. And through hands-on labs and projects, you’ll gain practical experience in building AI apps. Obtain a Professional Certificate from Coursera and a digital badge from IBM that showcase your AI proficiency. And you’ll have access to career assistance, job search, and interview preparation resources. Gain job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for. Learn the concepts, key terms, building blocks, and applications of AI, encompassing generative AI. Learn how to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies and how to use Python and Flask to develop and deploy AI applications on the web. Acquire high-demand highly marketable skills in Voice Assistants, Chatbots, Python Programming, Software Engineering, Software Architecture, Agile and Scrum, Software Development Lifecycle, Coding Challenge, Interview Preparation, Full Stack Development, Artificial Intelligence (AI), ChatGPT, Large Language Models (LLM), Natural Language Generation, Generative AI, Prompt Engineering, Prompt Patterns, Web Development, JavaScript, Cascading Style Sheets (CSS), Application development, Web Application, Flask, Code generation, Data Science and Analysis, Data Analysis, Numpy, Pandas, Machine Learning and Deep Learning. Training lessons address: 1) Introduction to Software Engineering, 2) Introduction to Artificial Intelligence (AI), 3) Generative AI: Introduction and Applications, 4) Generative AI: Prompt Engineering Basics, 5) Introduction to HTML, CSS, & JavaScript, 6) Python for Data Science, AI & Development, 7) Developing AI Applications with Python and Flask, 8) Building Generative AI-Powered Applications with Python, 9) Generative AI: Elevate your Software Development Career, and 10) Software Developer Career Guide and Interview Preparation. 

Enroll today (teams & execs welcome): imp.i384100.net/6e4mE3 

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) or (Kindle) 

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

Convolutional Neural Networks (training)

Colleagues, in the “Convolutional Neural Networks” program you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. You will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. Acquire high-demand skills involving Facial Recognition System, Tensorflow, Convolutional Neural Networks, Deep Learning, Object Detection and Segmentation, and Foundations of Convolutional Neural Networks. Skill-based lessons include: 1) Deep Convolutional Models: Case Studies, 2) Object Detection, and 3) Special Applications: Face recognition & Neural Style Transfer. 

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

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) or (Kindle) 

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

Structuring Machine Learning Projects (training)

Colleagues, the “Structuring Machine Learning Projects” program is part of the Deep Learning Specialization from DeppLearning.AI. Learn to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer, and Multi-Task Learning. Training modules include: 1) ML Strategy - Orthogonalization, Single Number Evaluation Metric, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metric?, Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance, Improving your Model Performance, and Andrej Karpathy Interview; and 2) ML Strategy - Part II - Carrying Out Error Analysis, Cleaning Up Incorrectly Labeled Data, Build your First System Quickly, then Iterate, Training and Testing on Different Distributions, Bias and Variance with Mismatched Data Distributions, Addressing Data Mismatch, Transfer Learning, Multi-task Learning, What is End-to-end Deep Learning?, Whether to use End-to-end Deep Learning, and Ruslan Salakhutdinov Interview. 

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

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) or (Kindle) 

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

Sequence Models (training)

Colleagues, the “Sequence Models” program is part of the Deep Learning Specialization from DeepLearning.AI. You will be equipped with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. Gain expertise in Gated Recurrent Units (GRU), Recurrent Neural Networks, Natural Language Processing, Long Short Term Memory (LSTM), and Attention Models. Skill-based lessons include: 1) Recurrent Neural Networks, 2) Natural Language Processing & Word Embeddings, 3) Sequence Models and Attention Mechanism, and 4) Transformer Networks.

Enroll today (teams & execs welcome): https://imp.i384100.net/Wyy3eM

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) or (Kindle) 

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

Deep Learning Specialization

Colleagues, in the “Deep Learning Specialization” you will master the fundamentals of deep learning and break into AI. You will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, and natural language processing. Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications. Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks in TensorFlow. Build a CNN and apply it to detection and recognition tasks, use neural style transfer to generate art, and apply algorithms to image and video data. Build and train RNNs, work with NLP and Word Embeddings, and use HuggingFace tokenizers and transformer models to perform NER and Question Answering. Skills you'll gain encompass Recurrent Neural Networks, Tensorflow, Convolutional Neural Networks, Artificial Neural Networks, and Transformers. Skill-based training modules address: 1) Neural Networks and Deep Learning, 2) Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, 3) Structuring Machine Learning Projects, 4) Convolutional Neural Networks, and 5) Sequence Models.

Enroll today (teams & execs welcome): https://imp.i384100.net/EK3BjP 

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) or (Kindle) 

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