UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: With the increasing availability of computational and data resources, numerous powerful pre-trained language models (PLMs) have emerged for natural language processing tasks. However, how to ...
Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...
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IBM falls most since 2000 after Anthropic COBOL AI claims; Thomas says translation isn’t modernization
IBM’s ( IBM) Software and Chief Commercial Officer, Rob Thomas, wrote in a Monday blog post that translating COBOL code isn’t equivalent to modernizing enterprise systems, emphasizing that platform ...
The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.
An AI-assisted hacker campaign breached over 600 FortiGate firewalls worldwide by exploiting weak credentials and public interfaces in a chilling demonstration of how generative AI ...
Abstract: This study uses the BERTopic model, which is an advanced natural language processing (NLP) technology. The method combines BERT embedding for doing topic analysis. Our data source adopots ...
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