Your LLM-based systems are at risk of being attacked to access business data, gain personal advantage, or exploit tools to the same ends. Everything you put in the system prompt is public data.

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The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

The latest step forward in the development of large language models (LLMs) took place earlier this week, with the release of a new version of Claude, the LLM developed by AI company Anthropic—whose ...