LLM safety refers to the practices and techniques used to ensure that large language models (LLMs) are developed and deployed in ways that prevent harm to individuals and society. As LLMs become increasingly powerful and ubiquitous, ensuring their safety is crucial for the tech community to mitigate risks such as bias, misinformation, and potential misuse, and to build trust in AI systems.
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