Added possibility to change the prompt style via parameter as I try and debug the fine-tuning issue.

config/architectures.json

@@ -31,6 +31,42 @@
         {"class":  "OutputResponseScreener"}
       ],
       "img": "architecture_rag.jpg"
+    },
+    {
+      "name": "4. Fine-tuning test 2 - multi_line prompt",
+      "description": "Fine-tuning to try different training methods",
+      "steps": [
+        {"class":  "InputRequestScreener"},
+        {"class":  "HFInferenceEndpoint", "params":  {"endpoint_url": "https://d0on8skmq6t2a4wo.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"}},
+        {"class":  "OutputResponseScreener"}
+      ]
+    },
+    {
+      "name": "5. Fine-tuning test 2 - multi_line_no_sys prompt",
+      "description": "Fine-tuning to try different training methods",
+      "steps": [
+        {"class":  "InputRequestScreener"},
+        {"class":  "HFInferenceEndpoint", "params":  {"endpoint_url": "https://d0on8skmq6t2a4wo.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_no_sys"}},
+        {"class":  "OutputResponseScreener"}
+      ]
+    },
+    {
+      "name": "6. Fine-tuning test 2 - single_line prompt",
+      "description": "Fine-tuning to try different training methods",
+      "steps": [
+        {"class":  "InputRequestScreener"},
+        {"class":  "HFInferenceEndpoint", "params":  {"endpoint_url": "https://d0on8skmq6t2a4wo.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":  "single_line"}},
+        {"class":  "OutputResponseScreener"}
+      ]
+    },
+    {
+      "name": "7. Fine-tuning test 2 - single_line_no_sys prompt",
+      "description": "Fine-tuning to try different training methods",
+      "steps": [
+        {"class":  "InputRequestScreener"},
+        {"class":  "HFInferenceEndpoint", "params":  {"endpoint_url": "https://d0on8skmq6t2a4wo.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":  "single_line_no_sys"}},
+        {"class":  "OutputResponseScreener"}
+      ]
     }
   ]
 }