Earlier this summer Meta made a US $14.3 billion bet on a company most people had never heard of before: Scale AI. The deal, which gave Meta a 49 percent stake, sent Meta’s competitors—including ...

Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data labeling is one of the most fundamental aspects of machine learning.

Data labeling plays a pivotal role within the ever-expanding realm of AI. This intricate process involves the meticulous tagging and categorization of raw data, encompassing various formats such as ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling ...

Basic data-labeling work — the kind built on tagging images or sorting text — is becoming obsolete, said the CEO of a $2.2 billion AI training firm. Jonathan Siddharth, the CEO of Turing, said on an ...

These people do not exist. These faces were artificially generated using a form of deep learning known as generative adversarial networks (GANs). Synthetic data like this is becoming increasingly ...

Simple data labeling is becoming obsolete as AI models require more complex training data, says Turing's CEO. AI training companies need to be a "proactive research partner" for major labs, Jonathan ...