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 ...

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 ...

Dublin, May 28, 2025 (GLOBE NEWSWIRE) -- The "Data Collection & Labeling Market by Component, Deployment Model, Organization Size, Distribution Channel, Application, End User Industry - Global ...

If you’re like me, you’ve been watching the explosion of data labeling and reinforcement learning environment startups with a mix of confusion and awe.These companies, which hire experts in fields ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Frederik Bussler, consultant, and analyst ...

Every dataset you send out reflects your product. If the labels are off, so are the results, especially when training AI models. That’s why quality control isn’t optional, when you are working with ...

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 ...

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 ...

Recent advancements in large generative models have resulted in widespread interest in their ability to act on complex instructions. These so-called foundational large language models (LLMs), e.g., ...

You're currently following this author! Click to unsubscribe from email alerts. Basic data-labeling work — the kind built on tagging images or sorting text — is becoming obsolete, said the CEO of a $2 ...