Month: September 2025

Explainable AI Featured Posts Generative AI Natural Language Processing Podcasts

Stay Ahead of AI Risks – Free Live Session for Tech Leaders

Exclusive working session about trustworthy AI, for senior tech leaders. View PowerPoint presentation, here. ​AI isn’t slowing down, but poorly planned AI adoption will slow you down. Hallucinations, security risks, bloated compute costs, and “black box” outputs are already tripping up top teams, burning budgets, and eroding trust. That’s why this session blends three things you […]

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Featured Posts Generative AI Natural Language Processing Podcasts

Scaling, Optimization & Cost Reduction for LLM/RAG & Enterprise AI

Live session with Vincent Granville, Chief AI Architect and Co-founder at BondingAI. Scaling databases is a tricky balance. Teams need speed and reliability, but costs keep rising. From runaway infrastructure bills to overprovisioned clusters and slow queries, companies often spend more without seeing better performance. Join for a practical session on how to reduce database […]

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Explainable AI Featured Posts Natural Language Processing

Benchmarking xLLM and Specialized Language Models: New Approach & Results

Standard benchmarking techniques using LLM as a judge have strong limitations. First it creates a circular loop and reflects the flaws present in the AI judges. Then, the perceived quality depends on the end user: an enterprise LLM appeals to professionals and business people, while a generic one appeals to laymen. The two have almost […]

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Experimental Math Featured Posts Generative AI Python Synthetic Data

How Synthetic Primes Reveal the Quantum States in the Riemann Hypothesis

This research paper showcases spectacular discoveries across multiple disciplines. The main question — yet unanswered — is how the mathematical engineering behind the scenes could be applied to modern AI, deep neural networks (DNNs) and LLMs in particular, to dramatically accelerate the convergence of some slow algorithms. Most notoriously, the laborious and expensive training attached […]

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