Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...

Learn how to create burndown charts to track project progress, improve team performance, and download free templates to get ...

This Claude Code approach from its creator shares eight steps. Make Claude Code projects smoother while improving speed and code quality ...

Ralph Wigum keeps coding work moving by reading prior outputs, ideal for greenfield specs and batch cleanup, giving steady, measurable progress.

Abstract: A case matching algorithm based on graph model and SBERT-BiMPM is proposed. The key problem in finding similar cases is to calculate the similarity between the two cases. Firstly, based on ...