alfraser commited on
Commit
d452e98
·
1 Parent(s): 946c170

Tried a tweak to the prompt to lean in to facts

Browse files
Files changed (1) hide show
  1. config/architectures.json +2 -2
config/architectures.json CHANGED
@@ -15,7 +15,7 @@
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  "description": "Model fine-tuned on the data from the baseline product dataset.",
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  "steps": [
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  {"class": "InputRequestScreener"},
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- {"class": "HFInferenceEndpoint", "params": {"endpoint_url": "https://pgzu02dvzupp5sml.eu-west-1.aws.endpoints.huggingface.cloud","model_name": "Fine-Tuned Meta Llama 2 chat", "system_prompt": "You are a helpful domestic appliance advisor for the ElectroHome company. Please answer customer questions and do not mention other brands. If you cannot answer please say so.", "max_new_tokens": 1000, "prompt_style": "multi_line_with_roles"}},
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  {"class": "OutputResponseScreener"}
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  ]
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  },
@@ -36,7 +36,7 @@
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  "description": "Model fine-tuned on the data from the baseline product dataset.",
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  "steps": [
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  {"class": "InputRequestScreener"},
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- {"class": "HFInferenceEndpoint", "params": {"endpoint_url": "https://ln8i9z4ecjqora6d.eu-west-1.aws.endpoints.huggingface.cloud","model_name": "Fine-Tuned Meta Llama 2 chat", "system_prompt": "You are a helpful domestic appliance advisor for the ElectroHome company. Please answer customer questions and do not mention other brands. If you cannot answer please say so.", "max_new_tokens": 1000, "prompt_style": "multi_line_with_roles"}},
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  {"class": "OutputResponseScreener"}
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  ]
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  }
 
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  "description": "Model fine-tuned on the data from the baseline product dataset.",
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  "steps": [
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  {"class": "InputRequestScreener"},
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+ {"class": "HFInferenceEndpoint", "params": {"endpoint_url": "https://pgzu02dvzupp5sml.eu-west-1.aws.endpoints.huggingface.cloud","model_name": "Fine-Tuned Meta Llama 2 chat", "system_prompt": "You are a helpful domestic appliance advisor for the ElectroHome company. Please answer customer questions and do not mention other brands. Answer succinctly with facts, and if you cannot answer please say so.", "max_new_tokens": 1000, "prompt_style": "multi_line_with_roles"}},
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  {"class": "OutputResponseScreener"}
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  ]
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  },
 
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  "description": "Model fine-tuned on the data from the baseline product dataset.",
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  "steps": [
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  {"class": "InputRequestScreener"},
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+ {"class": "HFInferenceEndpoint", "params": {"endpoint_url": "https://ln8i9z4ecjqora6d.eu-west-1.aws.endpoints.huggingface.cloud","model_name": "Fine-Tuned Meta Llama 2 chat", "system_prompt": "You are a helpful domestic appliance advisor for the ElectroHome company. Please answer customer questions and do not mention other brands. Answer succinctly with facts, and if you cannot answer please say so.", "max_new_tokens": 1000, "prompt_style": "multi_line_with_roles"}},
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  {"class": "OutputResponseScreener"}
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  ]
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  }