Underpinning advanced machine learning models with GPUs
Although it’s rarely publicized in the media, not everything about deploying—and certainly not about training or fine-tuning—advanced machine learning models are re...
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Leverage a value-creation framework to unleash GenAI innovation
Note: there is a gift for those who read to the end of this blog. “If you don’t know where you are going, any road will get you there.” – Lewis Carroll. Generativ...
Using AI to Solve the Deepest Math Conjectures
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 sign of real (artificial) intell...
What’s behind the AI adoption and hiring challenge in organizations?
PickPik, royalty-free, undated Companies for a decade now have been thinking they have to adopt AI, or they’ll get left behind. But most still don’t acknowledge the n...
Quantum computing’s status and near-term prospects
Part I: Background and some indicators of how AI is helping IBM’s Quantum System 2 on display at the Q2B 2024 Silicon Valley conference in December (author’s ...
Infrastructural necessities for building and deploying enterprise-scale AI
Whether rendering sensitive datasets anonymous with synthetic data or simply facilitating ad-hoc question answering on a corpus of domain-specific knowledge, enterprise a...
LLM 2.0, RAG & Non-Standard Gen AI on GitHub
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 focus is o...