Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Chain-of-Thought isn't a plug-and-play solution. For developers, this research offers a blueprint for LLM testing and strategic fine-tuning.

For AI developers and industry leaders, effectively leveraging public data can be the difference between breakthrough innovation and costly underperformance.

Companies become so good at generating perfect fake customers that they stop talking to real ones. The models work great until they meet actual humans.

For those looking to get the most out of their AI system, synthetic data proves useful when real historical data is scarce, sensitive or difficult to obtain.

The Space Force is on a path toward creating a National Space Test and Training Complex, but the endeavor also presents some challenges — most of which lie in creating virtual training and testing ...

Boston – June 08, 2023 – Testing and digital quality company Applause today announced capabilities in assisting clients with the training, testing and validation of generative AI models. Applause has ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...