The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

In the race to build smarter artificial intelligence (AI) and supporting systems, many digital organizations and technology developers are focused on making more efficient models. The architecture, ...

The foundation of any successful AI model lies in the quality and abundance of data. Yet even with breakthroughs in AI algorithms such as GPT-4, Anthropic and Mistral, organizations often struggle ...

COMMISSIONED: As with any emerging technology, implementing generative AI large language models (LLMs) isn’t easy and it’s totally fair to look side-eyed at anyone who suggests otherwise. From issues ...

As more companies invest in generative AI (gen AI) for bespoke use cases and products, proprietary data is becoming increasingly important to training large language models (LLMs). Unlike ChatGPT, ...

As AI systems become more sophisticated, the challenges of training them effectively—and responsibly—continue to grow. The use of real-world data often comes with concerns and roadblocks—privacy risks ...

With the rise of generative AI, synthetic images and text have become common knowledge -- but are you familiar with synthetic data? As the name implies, the term refers to data that is artificially ...

Research on rare diseases and atypical health care demographics is often slowed by high interparticipant heterogeneity and overall scarcity of data. Synthetic data (SD) have been proposed as means for ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

Here’s what you need to know about synthetic AI data startup Gretel, which Nvidia reportedly just acquired for over $320 million. Nvidia has reportedly acquired synthetic data AI startup Gretel to ...