From d310f9c71e29d9f99bee728c929c653810cb84eb Mon Sep 17 00:00:00 2001
From: tanersekmen <56790802+tanersekmen@users.noreply.github.com>
Date: Sun, 5 May 2024 20:18:15 +0300
Subject: [PATCH] docs:update code structure (#21302)

update the structure of llm_chain variables

Co-authored-by: tanersemenn <0418>
---
 docs/docs/integrations/llms/ipex_llm.ipynb | 95 ++++------------------
 1 file changed, 16 insertions(+), 79 deletions(-)

diff --git a/docs/docs/integrations/llms/ipex_llm.ipynb b/docs/docs/integrations/llms/ipex_llm.ipynb
index 32d768d8070..ba456b7608b 100644
--- a/docs/docs/integrations/llms/ipex_llm.ipynb
+++ b/docs/docs/integrations/llms/ipex_llm.ipynb
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,31 +93,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "897501860fe4452b836f816c72d955dd",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2024-04-24 21:20:12,461 - INFO - Converting the current model to sym_int4 format......\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "llm = IpexLLM.from_model_id(\n",
     "    model_id=\"lmsys/vicuna-7b-v1.5\",\n",
@@ -134,29 +112,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/shane-langchain-3.11/lib/python3.11/site-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 0.3.0. Use RunnableSequence, e.g., `prompt | llm` instead.\n",
-      "  warn_deprecated(\n",
-      "/opt/anaconda3/envs/shane-langchain-3.11/lib/python3.11/site-packages/transformers/generation/utils.py:1369: UserWarning: Using `max_length`'s default (4096) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AI stands for \"Artificial Intelligence.\" It refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI can be achieved through a combination of techniques such as machine learning, natural language processing, computer vision, and robotics. The ultimate goal of AI research is to create machines that can think and learn like humans, and can even exceed human capabilities in certain areas.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
+    "llm_chain = prompt | llm\n",
     "\n",
     "question = \"What is AI?\"\n",
     "output = llm_chain.invoke(question)"
@@ -179,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -198,17 +158,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "2024-04-24 21:20:35,874 - INFO - Converting the current model to sym_int4 format......\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "llm_lowbit = IpexLLM.from_model_id_low_bit(\n",
     "    model_id=saved_lowbit_model_path,\n",
@@ -227,27 +179,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/envs/shane-langchain-3.11/lib/python3.11/site-packages/transformers/generation/utils.py:1369: UserWarning: Using `max_length`'s default (4096) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AI stands for \"Artificial Intelligence.\" It refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI can be achieved through a combination of techniques such as machine learning, natural language processing, computer vision, and robotics. The ultimate goal of AI research is to create machines that can think and learn like humans, and can even exceed human capabilities in certain areas.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "llm_chain = LLMChain(prompt=prompt, llm=llm_lowbit)\n",
+    "llm_chain = prompt | llm_lowbit\n",
+    "\n",
     "\n",
     "question = \"What is AI?\"\n",
     "output = llm_chain.invoke(question)"
@@ -256,7 +193,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "shane-diffusion",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -270,7 +207,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,