Language Models

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Wednesday, 14 October 2026

Build self-improving document processing using Amazon Bedrock AgentCore

Amazon Web Services 7 hours ago 41 ● 2 sources

Amazon Bedrock AgentCore multi-agent system is used to classify, extract, validate, and iteratively learn from business documents for agentic intelligent document processing. The end-to-end time drops from 3 minutes 49 seconds on the first run to 1 minute 30 seconds when a second document from the same type is processed, after new extraction instructions are trained and saved. This replaces template-heavy configuration with automated instruction generation and reuse so later documents of a known type avoid manual retraining and run faster.

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AI Infrastructure Enterprise AI AI Agents & Workflows Language Models

Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models

Apple Machine Learning Research 23 hours ago 18

A lightweight method detects code-switching directly from speech by using language-selective hidden-state dimensions in pretrained speech encoders. Whisper-small reached a mean F1 of 0.798 across 14 language pairs on CS-FLEURS after tuning a decision rule with a small CS set. As a result, pretrained speech encoders can be used to label CS utterances without multilingual transcription, helping build more representative multilingual training corpora.

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Model Evaluation Language Models Speech Recognition

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