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Introducing Thunderforge: AI for American Defense| scale.com
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Data labeling is one of the most critical activities in the machine learning lifecycle, though it is often overlooked in its importance. Powered by enormous amounts of data, machine learning algorithms are incredibly good at learning and detecting patterns in data and making useful predictions, all without being explicitly programmed to do so. Data labeling is necessary to make this data understandable to machine learning models.| scale.com
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The Scale Data Engine powers large language models (LLMs), generative AI, and computer vision applications with best-in-class data.| scale.com
Discover Large Language Models (LLMs): what they are, why they matter, use cases and how to implement them with Fine-Tuning, RLHF and Prompt engineering.| scale.com
Scale AI and the Center for AI Safety (CAIS) are proud to publish the results of Humanity’s Last Exam.| scale.com
Scale AI partners with the U.S. DoD'S CDAO to create a comprehensive test and evaluation framework for the responsible use of LLMs within the DoD.| scale.com
Scale supplies data to power nearly every leading AI model.| scale.com