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… Read More »How to Build and Optimize High-Performance Deep Neural Networks from Scratch
This book opens up new research areas in theoretical and computational number theory, numerical approximation, dynamical systems, quantum dynamics, and the physics of numbers. With… Read More »New Book: 0 and 1 – From Elemental Math to Quantum AI
Interview w/ Sumit Gupta – Business Intelligence Engineer at Notion In our latest episode of the AI Think Tank Podcast, I had the pleasure of sitting… Read More »A/B Testing Pitfalls – Interview w/ Sumit Gupta @ Notion
In my ground-breaking paper 51 available here, I paved the way to solve a famous multi-century old math conjecture. The question is whether or not… Read More »Spectacular Connection Between LLMs, Quantum Systems, and Number Theory
Image by Gerd Altmann from Pixabay Discover AI–a YouTube channel run by an unidentified Austrian man who distills and highlights the findings of AI papers… Read More »A feedback loop alternative to RAG that aligns LLMs with knowledge graph models
Image by Malachi Witt from Pixabay I had the chance to listen to a talk that Ivan Lee, Founder and CEO of Datasaur, gave during… Read More »What to consider when selecting a learning model
An interview with Amit Sheth, founding director, Artificial Intelligence Institute, University of South Carolina Amit Sheth has survived and thrived through multiple AI winters because… Read More »Scaling knowledge graphs and neurosymbolic AI
This is the third and final article in this series, featuring some of the most powerful features to improve RAG/LLM performance. In particular: speed, latency,… Read More »30 Features that Dramatically Improve LLM Performance – Part 3
Image courtesy of Pixabay Backgrounder: Energy inefficiency and the uneasy convenience of LLMs I had the opportunity earlier in September 2024 courtesy of host Kisaco… Read More »Backgrounder: Energy inefficiency and the uneasy convenience of LLMs
An interview with Chetan Conikee, founder and CTO at Qwiet.ai Serial entrepreneur Chetan Conikee honed his skills as a technical lead, engineering manager and architect… Read More »A code security use case for property graph-enabled predictions
