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New Databricks KARL RAG Agent Promises 33% Cost Reduction vs. Claude Opus 4.6

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

Databricks built a RAG agent it says can handle every kind of enterprise search

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

Creating Optimal Edit Metric Codes using a Genetic Algorithm

Abstract: Implementing error correcting codes is a challenging problem in information theory and the search for optimal codes, those of maximum size, has been the ...
IEEE

A Two-Stage Soft-Decision Decoding Algorithm for BCH Codes

Abstract: In this paper, we propose a two-stage soft-decision decoding (SDD) algorithm for BCH codes. At the first stage, we search for test error patterns (TEPs ...