Warmer-sounding LLMs are more likely to repeat false information and conspiracy theories
A research team at the University of Oxford set out to make language models sound warmer and more empathetic, but ran into some unexpected side effects.<br /> The article Warmer-sounding LLMs are more likely to repeat false information and conspiracy theories appeared first on THE DECODER. [...]
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venturebeat
Lean4: How the theorem prover works and why it's the new competitive edge in AI
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued by unpredictability and hallucinations – confidently outputting incorrect information. In high- [...]
venturebeat
Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers
In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with the increasing adopti [...]
