Update README.md (#5)
Browse files- Update README.md (49f932cdbf4a8abf8a01f3eb4e4e14f5a4f84674)
Co-authored-by: Makesh Sreedhar <[email protected]>
README.md
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**Llama-3.1-NemoGuard-8B-Topic-Control** can be used for topical and dialogue moderation of user prompts in human-assistant interactions being designed for task-oriented dialogue agents and custom policy-based moderation.
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Try out the model here: [Llama-3.1-NemoGuard-8B-Topic-Control](https://build.
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Given a system instruction (also called topical instruction, i.e. specifying which topics are allowed and disallowed) and a conversation history ending with the last user prompt, the model returns a binary response that flags if the user message respects the system instruction, (i.e. message is on-topic or a distractor/off-topic).
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**Llama-3.1-NemoGuard-8B-Topic-Control** can be used for topical and dialogue moderation of user prompts in human-assistant interactions being designed for task-oriented dialogue agents and custom policy-based moderation.
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Try out the model here: [Llama-3.1-NemoGuard-8B-Topic-Control](https://build.nvidia.com/nvidia/llama-3_1-nemoguard-8b-topic-control)
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Given a system instruction (also called topical instruction, i.e. specifying which topics are allowed and disallowed) and a conversation history ending with the last user prompt, the model returns a binary response that flags if the user message respects the system instruction, (i.e. message is on-topic or a distractor/off-topic).
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