xLLM by BondingAI: 5–min Demo
This document features screenshots from a quick live demo intended to potential investors and clients interested in seeing how our production platform works. Contact the author for a live presentation...
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How to Build and Optimize High-Performance Deep Neural Networks from Scratch
With explainable AI, intuitive parameters easy to fine-tune, versatile, robust, fast to train, without any library other than Numpy. In short, you have full control over all components, allowing for...
View ArticlexLLM: 30 Articles Shaping the Future of Enterprise AI in 2026
Over several decades, I unlearned everything that I learned in college classes, and built a new discipline from scratch, as much different from traditional AI than it is from standard machine learning,...
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Cybersecurity Use Case: AI Agent for Anomaly Detection – Part 2
In the first part of this series, here, I feature a click fraud case that we are working on, litigated by one of the largest law firms in the US. The input data comes from an Excel repository,...
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Checking for Randomness: Replacing Test Batteries with a Single Test
In cybersecurity applications where replicability is critical, or when building pseudo-random number generators, it is typical to perform a large number of various tests to check if a sequence of bits...
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xLLM Version 2.0: GitHub Repository with Innovative AI Agents
I am putting all the new code and documentation about xLLM v 2.0 on GitHub, starting with various AI agents. At least, what is open-source and public (there is a lot more behind the public material)....
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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...
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NPG: New Random Generator, 3x Faster & Stronger than PCG64
The NumPy library in Python, and many other systems, relied on the Mersenne Twister PRNG (pseudo-random number generator) for a long time. It was slow and did not mimic randomness well enough, failing...
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Invitation to Crack Codes Using AI
Could you use AI to crack a cypher? For instance, predict the next bits in bitstreams produced by a high-quality PRNG (pseudo-random generator). Or correctly guessing the next bit in sub-sequences of...
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96% Correct Next Token Prediction, with No DNN, no Training, auto-distilled...
Over the last 12 months, I’ve built a model to predict the next token and to suggest synonyms or related queries to a user prompt, with 100% correct predictions on the training set in one shot, without...
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