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fix typo (#25673)
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@ -445,7 +445,7 @@
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"\n",
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"\n",
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"def plt_img_base64(img_base64):\n",
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" \"\"\"Disply base64 encoded string as image\"\"\"\n",
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" \"\"\"Display base64 encoded string as image\"\"\"\n",
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" # Create an HTML img tag with the base64 string as the source\n",
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" image_html = f'<img src=\"data:image/jpeg;base64,{img_base64}\" />'\n",
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" # Display the image by rendering the HTML\n",
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@ -336,7 +336,7 @@
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" # Create a prompt template with format instructions and the query\n",
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" prompt = PromptTemplate(\n",
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" template=\"\"\"You are generating questions that is well optimized for retrieval. \\n \n",
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" Look at the input and try to reason about the underlying sematic intent / meaning. \\n \n",
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" Look at the input and try to reason about the underlying semantic intent / meaning. \\n \n",
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" Here is the initial question:\n",
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" \\n ------- \\n\n",
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" {question} \n",
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@ -643,7 +643,7 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "Python 3.11.1 64-bit",
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"language": "python",
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"name": "python3"
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},
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@ -657,7 +657,12 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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"version": "3.11.1"
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},
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"vscode": {
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"interpreter": {
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"hash": "1a1af0ee75eeea9e2e1ee996c87e7a2b11a0bebd85af04bb136d915cefc0abce"
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}
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}
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},
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"nbformat": 4,
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@ -647,7 +647,7 @@
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"metadata": {},
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"source": [
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"**Now we see the results are correct as it is mentioned in earnings release.** <br>\n",
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"**To further automate, we will create a chain that will take input as question and retriever so that we don't need to retrieve documents seperately**"
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"**To further automate, we will create a chain that will take input as question and retriever so that we don't need to retrieve documents separately**"
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]
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},
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{
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@ -734,9 +734,9 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "rag-on-intel",
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"display_name": "Python 3.11.1 64-bit",
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"language": "python",
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"name": "rag-on-intel"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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@ -748,7 +748,12 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.9"
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"version": "3.11.1"
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},
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"vscode": {
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"interpreter": {
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"hash": "1a1af0ee75eeea9e2e1ee996c87e7a2b11a0bebd85af04bb136d915cefc0abce"
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}
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}
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},
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"nbformat": 4,
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