Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

AI is reshaping online search in ways that reduce friction for consumers while increasing it for businesses. Large language ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Go to the app's settings menu, then select Manage all history. Select Delete to wipe your all-time viewing history or for specific periods. Under the Controls tab, select Turn off YouTube history ...

Abstract: This paper proposes a novel algorithm for multiple unmanned aerial vehicles (multi-UAV) cooperative search-attack missions operated in uncertain environments. A parallel decoupling ...

Abstract: Harmony search algorithm (HSA) is extensively utilized in engineering optimization. Nevertheless, it encounters problems of slow convergence and reduced accuracy, which hinder its capability ...

CCParser is a robust and efficient Python library designed for seamless credit card parsing, validation, and formatting. It can extract card details from clean, delimited strings and messy real-world ...

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...