Random Number
Delivers true random numbers for large language models by leveraging atmospheric noise from random.org.
소개
Large language models often struggle to generate truly random numbers, exhibiting biases that can impact applications requiring genuine unpredictability. This tool addresses that limitation by acting as a Model Context Protocol (MCP) server, providing access to high-quality random numbers sourced from atmospheric noise via random.org. It helps developers ensure their LLM-driven applications have access to unbiased randomness for critical functions.
주요 기능
- Generates true random numbers
- Operates as an MCP (Model Context Protocol) server
- 4 GitHub stars
- Mitigates LLM bias in random number generation
- Leverages atmospheric noise from random.org
사용 사례
- Enhancing the unpredictability of LLM-generated outputs
- Integrating external high-quality random sources into LLM applications
- Supplying unbiased random numbers to large language models