updated PDL notebook

Signed-off-by: Mandana Vaziri <[email protected]>
ibm-granite-community · Oct 15, 2024 · 620e80f · 620e80f
1 parent 94888cd
commit 620e80f
Showing 1 changed file with 11 additions and 12 deletions.
diff --git a/recipes/PDL/Prompt_Declaration_Language.ipynb b/recipes/PDL/Prompt_Declaration_Language.ipynb
@@ -129,9 +129,9 @@
    "id": "9",
    "metadata": {},
    "source": [
-    "## Chat Templates\n",
+    "### A closer look\n",
     "\n",
-    "The first call to the model in the above program submits the following prompt:\n",
+    "The first call to the model in the above program submits the following prompt (provided the query is `What is APR?`:\n",
     "\n",
     "```\n",
     "<|start_of_role|>system<|end_of_role|>You are Granite, an AI language model developed by IBM in 2024. You are a cautious assistant. You carefully follow instructions. You are helpful and harmless and you follow ethical guidelines and promote positive behavior.<|end_of_text|>\n",
@@ -170,11 +170,8 @@
     "  TRUTH:\n",
     "    read: ./ground_truth.txt\n",
     "text:\n",
-    "- \"\\n${ CODE.source_code }\\n\"\n",
-    "- model: replicate/ibm-granite/granite-20b-code-instruct-8k\n",
-    "  def: EXPLANATION\n",
-    "  input: |\n",
-    "      Here is some info about the location of the function in the repo.\n",
+    "- |\n",
+    "  Here is some info about the location of the function in the repo.\n",
     "      repo: \n",
     "      ${ CODE.repo_info.repo }\n",
     "      path: ${ CODE.repo_info.path }\n",
@@ -183,11 +180,13 @@
     "\n",
     "      Explain the following code:\n",
     "      ```\n",
-    "      ${ CODE.source_code }\n",
-    "      ```\n",
+    "      ${ CODE.source_code }```\n",
+    "- model: replicate/ibm-granite/granite-20b-code-instruct-8k\n",
+    "  parameters:\n",
+    "      temperature: 0\n",
+    "  def: EXPLANATION\n",
     "- |\n",
     "\n",
-    "\n",
     "  EVALUATION:\n",
     "  The similarity (Levenshtein) between this answer and the ground truth is:\n",
     "- def: EVAL\n",
@@ -200,7 +199,7 @@
     "    truth = \"\"\"\n",
     "    ${ TRUTH }\n",
     "    \"\"\"\n",
-    "    result = textdistance.levenshtein.normalized_similarity(expl, truth)"
+    "    result = textdistance.levenshtein.normalized_similarity(expl, truth)\n"
    ]
   },
   {
@@ -240,7 +239,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.12.5"
   }
  },
  "nbformat": 4,