When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Data models are used to represent real-world entities, but they often have limitations. Avoid these common data modeling mistakes to keep data integrity. Data modeling is the process through which we ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

At Bloomberg’s Technology and Innovation Forum in Singapore, the most useful conversation about quant research did not start ...

Co-founder and CTO of Docsumo, I am at the forefront of revolutionizing document processing through cutting-edge AI/ML technology. Smart Search and Query: Large language models significantly enhance ...

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter model later this year. Flower AI and Vana, two startups pursuing ...

EY's Alexy Thomas says connected, trustworthy data—not AI models alone—will determine India's long-term AI innovation and ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Last week the billionaire and owner of X, Elon Musk, claimed the pool of human-generated data that’s used to train artificial intelligence (AI) models such as ChatGPT has run out. Musk didn’t cite ...

Thanks to a boom in generative artificial intelligence, programs that can produce text, computer code, images and music are readily available to the average person. And we’re already using them: AI ...