From the uDemy course on LLM engineering.
https://www.udemy.com/course/llm-engineering-master-ai-and-large-language-models
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149 lines
3.5 KiB
149 lines
3.5 KiB
{ |
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"cells": [ |
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{ |
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"cell_type": "code", |
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"execution_count": 13, |
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"id": "147ce61d-b10e-478e-8300-2fb3101f617c", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"# imports\n", |
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"\n", |
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"import os\n", |
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"from dotenv import load_dotenv\n", |
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"from openai import OpenAI\n", |
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"import anthropic\n", |
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"from IPython.display import Markdown, display, update_display" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 14, |
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"id": "2dab29c1-3a8d-45bc-9f45-407419449ba9", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"import google.generativeai" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 15, |
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"id": "5fb5b749-d84b-4f8c-bfb9-2f5c4e8a2daa", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"Google API Key exists and begins AIzaSyDU\n" |
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] |
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} |
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], |
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"source": [ |
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"load_dotenv()\n", |
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"# openai_api_key = os.getenv('OPENAI_API_KEY')\n", |
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"# anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n", |
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"google_api_key = os.getenv('GOOGLE_API_KEY')\n", |
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"\n", |
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"if google_api_key:\n", |
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" print(f\"Google API Key exists and begins {google_api_key[:8]}\")\n", |
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"else:\n", |
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" print(\"Google API Key not set\")" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 16, |
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"id": "d34ee171-2647-47cf-9336-2d016480656f", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"google.generativeai.configure()" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 17, |
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"id": "856212a1-d07a-400b-9cef-a198e22f26ac", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"system_message = \"You are an assistant that is great at telling jokes\"\n", |
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"user_prompt = \"Tell a light-hearted joke for an audience of Data Scientists\"" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 18, |
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"id": "47289056-cc2b-4d2d-9e18-ecd65c0f3232", |
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"metadata": {}, |
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"outputs": [], |
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"source": [ |
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"prompts = [\n", |
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" {\"role\": \"system\", \"content\": system_message},\n", |
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" {\"role\": \"user\", \"content\": user_prompt}\n", |
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" ]" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": 19, |
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"id": "6d331aaf-162b-499e-af7e-5e097e84f1bd", |
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"metadata": {}, |
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"outputs": [ |
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{ |
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"name": "stdout", |
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"output_type": "stream", |
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"text": [ |
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"Why was the Data Scientist sad? \n", |
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"\n", |
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"Because they didn't get any arrays!\n", |
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"\n" |
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] |
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} |
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], |
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"source": [ |
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"# The API for Gemini has a slightly different structure.\n", |
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"# I've heard that on some PCs, this Gemini code causes the Kernel to crash.\n", |
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"# If that happens to you, please skip this cell and use the next cell instead - an alternative approach.\n", |
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"\n", |
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"gemini = google.generativeai.GenerativeModel(\n", |
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" model_name='gemini-1.5-flash',\n", |
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" system_instruction=system_message\n", |
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")\n", |
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"response = gemini.generate_content(user_prompt)\n", |
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"print(response.text)" |
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] |
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}, |
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{ |
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"cell_type": "code", |
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"execution_count": null, |
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"id": "b727ee91-92b8-4d62-9a03-1b85a76b905c", |
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"metadata": {}, |
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"outputs": [], |
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"source": [] |
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} |
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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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"language": "python", |
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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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"name": "ipython", |
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"version": 3 |
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}, |
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"file_extension": ".py", |
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"mimetype": "text/x-python", |
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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": "3.11.11" |
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} |
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}, |
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"nbformat": 4, |
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"nbformat_minor": 5 |
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}
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