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Feature Request: Validating prompt response from Triton server using NeMo Guardrails #16

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programmah opened this issue Feb 15, 2024 · 0 comments
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@programmah
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This feature request is about creating a content that demonstrate how to connect nemo guardrails to Llama-2-7b-chat TensorRT engine deployed on Triton Inference Server. This approach helps avoid the need for an Openai key and bypass NeMo-LLM Service when using NeMo guardrails to guard user prompts to/from the deployed model. You can use the LangChain framework to achieve the task.
The feature is required to complete the End-to-End LLM pipeline.

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