Recent deep learning frameworks in histopathology, particularly multiple instance learning (MIL) combined with pathology foundational models (PFMs), have shown ...
A well-engineered prompt can increase the performance of large language models; automatic prompt optimization techniques aim to increase performance without req...
TL;DR I built a benchmark suite to test various optimizations for streaming LLM responses in a React UI. Key takeaways: 1. Build a proper state first, then opt...
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The API-First Approach API-First architecture prioritizes building APIs as the primary interface for automation, enabling seamless integration, scalability, an...
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The Square Kilometre Array (SKA) project will operate one of the world's largest continuous scientific data systems, sustaining petascale imaging under strict p...
Overview Cloud‑native automation represents a paradigm shift in how organizations design, deploy, and manage automated workflows in distributed, containerized...
Let me guess your testing workflow - Write code in VS Code - Open Chrome DevTools - Check if it works - Ship it You just broke Firefox. And Safari. And probabl...
The AI Revolution in Automation Artificial Intelligence and Machine Learning are revolutionizing automation by enabling systems to learn, adapt, and make intel...
Autoregressive models (ARMs) are hindered by slow sequential inference. While masked diffusion models (MDMs) offer a parallel alternative, they suffer from crit...
In this paper, we propose a Differentially Private Stochastic Gradient Push with Compressed communication (termed DP-CSGP) for decentralized learning over direc...
