Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
What if the future of artificial intelligence wasn’t about building bigger, more complex models, but instead about making them smaller, faster, and more accessible? The buzz around so-called “1-bit ...
Fine-tuning large language models (LLMs) might sound like a task reserved for tech wizards with endless resources, but the reality is far more approachable—and surprisingly exciting. If you’ve ever ...
India should strive to occupy the AI-for-enterprise space, which will help in areas like drug discovery and bring down research times and prices, Ajai Chowdhry, the Chairman National Quantum Mission ...
Dr. Pravir Malik is the founder and chief technologist of QIQuantum and the Forbes Technology Council group leader for Quantum Computing. Substantial strides have been made in AI and quantum ...
I remember being in my early 20s, sitting under an expansive sky, reading a strange yet captivating book titled The Dancing Wu Li Masters by Gary Zukuv. It didn’t promise physics in the conventional ...
LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...
Multiverse Computing S.L. said today it has raised $215 million in funding to accelerate the deployment of its quantum computing-inspired artificial intelligence model compression technology, which ...
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