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 ...
Microsoft has announced that the Microsoft Agent Framework has reached Release Candidate status for both .NET and Python. This milestone indicates that the API surface is stable and feature-complete ...
Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, but their deployment in resource-constrained environments remains challenging due to substantial ...
The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.
Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY ...
Abstract: This paper focuses on the problem of AIGC video script generation and visual collaborative optimization, proposes a video script generation algorithm guided by semantics and vision, and ...
This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.
A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...
Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...
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