Prompt injection remains the most effective way to compromise enterprise AI systems because it exploits the fundamental way ...
The authors developed an attack called CoT (Chain of Thought) Forgery that involves using an LLM to spoof the terse style of ...
Moving forward requires coordinated technical, policy, and educational responses. An outright ban on AI in peer review, as is ...
Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...
The days of simply hoping to rank through passive optimization for opaque algorithms have officially come to an end and the ...
XDA Developers on MSN
I turned my self-hosted LLM from a glorified chat box into a real AI assistant
After months of testing local LLMs, I found that productivity depends on tools, not just models.
This is the 2nd part of my analysis on Anthropic Claude and its system-wide prompt, focusing on the mental health directives.
The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.
The rapid adoption of large language model (LLM) systems across the federal government has prompted the U.S. General Services Administration (GSA) ...
Look to these key metrics and benchmarks to evaluate the performance, capability, reliability, and safety of your AI models ...
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