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., ...

Enterprise data labeling is adopting context-aware architectures, regulatory safeguards, and automated quality checks to improve precision and efficiency. Approaches such as Model Context Protocols ...

Amid the boom of AI in application building, companies face a significant data-labeling problem, especially when it comes to labeling images or other media content they want to train deep learning ...

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Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. Unusual Ventures, ...

Enabled Intelligence has secured the National Geospatial-Intelligence Agency’s SEQUOIA contract, a single-award vehicle worth up to $708 million over seven years to provide data labeling-as-a-service ...