Books

Books Explainable AI Featured Posts Generative AI Machine Learning Python Statistical Science Visualization

Mesmerizing Video that will Make you Love Math, Engineering, and Probability

  Featuring the roots of various polynomials whose coefficients are the binary digits of numbers like π. Complex roots cluster around the circle, and the few real ones are on the horizontal X-axis (positive on the right, negative on the left). Download the free paper to see how to interpret the colors and get the […]

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Books Data Sets Experimental Math Featured Posts Python

Quantum, chaotic and fractal types of algorithmic convergence

For centuries, mathematicians worked on problems where the convergence is either smooth or does not happen. Now the concept of chaotic convergence is mainstream, popularized by the stochastic gradient descent in deep neural networks, central to LLMs. In my most recent book here, I discuss many cases involving various types of chaotic convergence. In some […]

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Books Experimental Math Featured Posts Python Statistical Science Stochastic Systems

New Book: Breakthroughs on the Digit Distribution of Classic Constants

Since the first edition entitled “0 and 1 — From Elemental Math to Quantum AI” and released in early 2025, a lot of progress has been made. Fascinating new results have been uncovered and proved by the author, many still leading to interesting quantum dynamics. In 100 pages, the new material presented here goes far […]

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Books Deep Learning Explainable AI Featured Posts Natural Language Processing Python Synthetic Data

New Book: No-Blackbox, Secure, Efficient AI and xLLM Solutions

Large language models and modern AI is often presented as technology that needs deep neural networks (DNNs) with billions of Blackbox parameters, expensive and time consuming training, along with GPU farms, yet prone to hallucinations. This book presents alternatives that rely on explainable AI, featuring new algorithms based on radically different technology with trustworthy, auditable, […]

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Books Experimental Math Featured Posts Python Stochastic Systems Synthetic Data Visualization

New Book: 0 and 1 – From Elemental Math to Quantum AI

The book is available on our E-store, here.  It all started with the number 1. This e-book offers a trip deep into the most elusive and fascinating multi-century old conjecture in number theory: are the binary digits of the fundamental math constants evenly distributed? No one even knows if the proportions of ‘0’ and ‘1’ […]

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Books Courses Data Sets Explainable AI Featured Posts Generative AI Natural Language Processing Python Synthetic Data

10 Must-Read Articles and Books About Next-Gen AI in 2025

You could call it the best kept secret for professionals and experts in AI, as you won’t find these books and articles in traditional outlets. Yet, they are read by far more people than documents posted on ArXiv or published in scientific journals, so not really a secret. Actually, one of these books is also […]

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Books Experimental Math Featured Posts Python

Piercing the Deepest Mathematical Mystery

Any solution to the mythical problem in question has remained elusive for centuries. It is deemed more difficult than proving the Riemann Hypothesis, yet its formulation can be understood by kids in elementary school. The question is whether or not the digits of mathematical constants such as π, behave like a random sequence. This article […]

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Books Explainable AI Featured Posts Generative AI Natural Language Processing

Blueprint: Next-Gen Enterprise RAG & LLM 2.0 – Nvidia PDFs Use Case

In my most recent articles and books, I discussed our radically different approach to building enterprise LLMs from scratch, without training, hallucinations, prompt engineering or GPU, while delivering higher accuracy at a much lower cost, safely, at scale and at lightning speed (in-memory). It is also far easier to adapt to specific corpuses and business […]

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Books Explainable AI Featured Posts Natural Language Processing Python

LLM Deep Contextual Retrieval and Multi-Index Chunking: Nvidia PDFs, Case Study

The technology described here boosts exhaustivity and structuredness in LLM prompt results, efficiently exploiting the knowledge graph and contextual structure present in any professional or enterprise corpus. The case study deals with public financial reports from Nvidia, available as PDF documents. In this article, I discuss the preprocessing steps used to turn a PDF repository […]

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Books Explainable AI Featured Posts Natural Language Processing Python

New Book: Building Disruptive AI & LLM Technology from Scratch

This book features new advances in game-changing AI and LLM technologies built by GenAItechLab.com. Written in simple English, it is best suited for engineers, developers, data scientists, analysts, consultants and anyone with an analytic background interested in starting a career in AI. The emphasis is on scalable enterprise solutions, easy to implement, yet outperforming vendors […]

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