Abstract: Kullback–Leibler (KL) divergence plays a central role in hypothesis testing. It gives a measure of the statistical distance between two probability distributions. In the distributed ...
Introduction: The longstanding presence of Sudanese refugees in Egypt—fueled by decades of political instability, conflict, and economic hardship in Sudan—has evolved with the recent 2023 crisis. This ...
OpenAI is actively seeding new models on LM Arena, a platform where users can benchmark and compare top-tier models before they are widely released. The latest arrival, Robin High, stands out as ...
Abstract: In the software development life cycle, ensuring high-quality and reliable software is crucial for developers. Unreliable software can result in customer loss, decreased revenue, and ...
The Tesla Model Y no longer looks like the love child of a Model X and Model 3, something I always thought looked awkward and, well, a bit dull. Many also considered them as ‘white goods’ when they ...
An evaluation suite for agentic models in real MCP tool environments (Notion / GitHub / Filesystem / Postgres / Playwright). MCPMark provides a reproducible, extensible benchmark for researchers and ...
A Python module to model, fit, and analyse single and binary spectral energy distributions (SEDs). This theory behind the code, and the method it implements, are ...
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