Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
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
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the backend… Read More »How to design LLMs that don’t need prompt engineering
In this article, I discuss the main problems of standard LLMs (OpenAI and the likes), and how the new generation of LLMs addresses these issues.… Read More »The Rise of Specialized LLMs for Enterprise
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
Tools such as OpenAI can on occasion give the impression that they are able to prove theorems and even generalize them. Whether this is a… Read More »Using AI to Solve the Deepest Math Conjectures
In this article, I share my latest Gen AI and LLM advances, featuring innovative approaches radically different from both standard AI and classical ML/NLP. The… Read More »LLM 2.0, RAG & Non-Standard Gen AI on GitHub
What I mean here is that traditional LLMs are trained on tasks irrelevant to what they will do for the user. It’s like training a… Read More »There is no such thing as a Trained LLM
It is becoming a bit difficult to follow all the new AI, RAG and LLM terminology, with new concepts popping up almost every week. Which… Read More »LLM Chunking, Indexing, Scoring and Agents, in a Nutshell
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,… Read More »New Book: Building Disruptive AI & LLM Technology from Scratch
