Add carl-grp's homework for week1 day2 (cleared outputs)
This commit is contained in:
Cadeus14
156
community-contributions/carl-grp/week1_day2_homework.ipynb
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156
community-contributions/carl-grp/week1_day2_homework.ipynb
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"cells": [
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{
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"cell_type": "markdown",
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"id": "7316c8d3",
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"metadata": {},
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"source": [
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"# How well can LLMs advice on tech purchases?"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6acdeb48",
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"metadata": {},
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"source": [
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"Just execute the two tries after setting everything up and take a look how both models perform in helping you choose the best new iPhone.\n",
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"\n",
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"I was suprised how much better ChatGPT is!\n",
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"\n",
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"P.S.: Since I'm German, the output and the websites are German. Just change the URLs if you want another language."
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]
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},
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{
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"cell_type": "markdown",
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"id": "8ae52614",
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"metadata": {},
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"source": [
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"### General setup"
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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": "d7f15f25",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"import os\n",
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"sys.path.append(os.path.join('..', '..', 'week1'))\n",
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"from scraper import fetch_website_contents\n",
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"from operator import concat\n",
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"from openai import OpenAI\n",
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"from IPython.display import Markdown, display\n",
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"from dotenv import load_dotenv"
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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": "bbd7dc61",
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"metadata": {},
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"outputs": [],
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"source": [
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"system_prompt_homework_day2 = \"\"\"\n",
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"You are tech advisor that knows about how newest mobiles like the iPhone work and what different user groups need, \n",
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"like best cameras for Pro users or battery life for average consumers. \n",
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"You advise fact-based and thorough on the best deals for each of your customers.\n",
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"You deal with scraped websites given to you by ignoring random text from headers and footers of websites \n",
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"and focusing on the content that actually presents products. \n",
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"IMPORTANT: Only use facts that you got by the user via prompting.\n",
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"Try hard to really identify which text is noise and which makes the product descriptions.\n",
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"\"\"\"\n",
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"user_prompt_prefix_homework_day2 = \"\"\"\n",
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"Hi, as a student that still has the iPhone 13 Pro but wants a newer iPhone, \n",
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"i need some advice on which iPhone to buy. Can you help me choose from apples website? \n",
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"Here are the contents of apple's iphone websites that i obtained using a scraper.\n",
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"Provide a short summary of the text from this website-scraper and afterwards help me choose the best option. \n",
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"If it includes news or announcements, then summarize these too. \n",
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"\"\"\"\n",
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"\n",
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"url_1 = \"https://www.apple.com/de/iphone-17-pro/\"\n",
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"url_2 = \"https://www.apple.com/de/iphone-air/\"\n",
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"url_3 = \"https://www.apple.com/de/iphone-17/\"\n",
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"\n",
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"urls = [url_1, url_2, url_3]\n",
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"website_content_homework_day2 = \"\"\n",
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"\n",
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"for url in urls:\n",
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" website_content_homework_day2 += fetch_website_contents(url)\n",
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"\n",
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"homework_day2_message = [\n",
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" {\"role\":\"system\", \"content\":system_prompt_homework_day2},\n",
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" {\"role\":\"user\", \"content\": user_prompt_prefix_homework_day2 + website_content_homework_day2}\n",
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"]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cc854a00",
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"metadata": {},
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"source": [
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"### Try 1: Local run with Ollama 3.2 "
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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": "7fae9b5b",
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"metadata": {},
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"outputs": [],
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"source": [
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"!ollama pull llama3.2\n",
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"\n",
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"OLLAMA_BASE_URL = \"http://localhost:11434/v1\"\n",
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"ollama = OpenAI(base_url=OLLAMA_BASE_URL, api_key='ollama')\n",
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"\n",
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"response = ollama.chat.completions.create(model=\"llama3.2\", messages=homework_day2_message,)\n",
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"display(Markdown(response.choices[0].message.content))"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e7563157",
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"metadata": {},
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"source": [
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"### Try 2: Online with ChatGPT-5-nano"
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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": "d764cc76",
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"metadata": {},
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"outputs": [],
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"source": [
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"load_dotenv(override=True)\n",
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"\n",
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"openai = OpenAI()\n",
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"response = openai.chat.completions.create(model=\"gpt-5-nano\", messages=homework_day2_message,)\n",
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"display(Markdown(response.choices[0].message.content))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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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": "3.12.12"
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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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