Training data scraped from the web may have been OK for the first wave of large language models, but as competition increases, more and better data will be needed.

Artificial intelligence is rapidly evolving from general-purpose models to specialized ones that require domain-specific data. As featured in a recent Fast Company article, Enterra Solutions is at the forefront of this shift, focusing on acquiring specialized data in areas like healthcare and finance. The company provides services to help clients identify, acquire, and leverage this data to enhance their AI capabilities, positioning themselves as a key player in the future of AI development.

This article discusses the potential risks associated with artificial intelligence, including its amplification of human errors, impact on societal institutions, and potential for misuse. It explores various expert opinions and proposals for managing AI development and governance internationally.

This article discusses the challenges retailers face with product returns, including fraudulent practices and their financial impact. It explores strategies to manage returns effectively, such as using AI to predict and process returns, and the importance of consumer-friendly return policies.