{ "cells": [ { "cell_type": "markdown", "id": "d15d8294-3328-4e07-ad16-8a03e9bbfdb9", "metadata": {}, "source": [ "# YOUR FIRST LAB\n", "### Please read this section. This is valuable to get you prepared, even if it's a long read -- it's important stuff.\n", "\n", "## Your first Frontier LLM Project\n", "\n", "Let's build a useful LLM solution - in a matter of minutes.\n", "\n", "By the end of this course, you will have built an autonomous Agentic AI solution with 7 agents that collaborate to solve a business problem. All in good time! We will start with something smaller...\n", "\n", "Our goal is to code a new kind of Web Browser. Give it a URL, and it will respond with a summary. The Reader's Digest of the internet!!\n", "\n", "Before starting, you should have completed the setup for [PC](../SETUP-PC.md) or [Mac](../SETUP-mac.md) and you hopefully launched this jupyter lab from within the project root directory, with your environment activated.\n", "\n", "## If you're new to Jupyter Lab\n", "\n", "Welcome to the wonderful world of Data Science experimentation! Once you've used Jupyter Lab, you'll wonder how you ever lived without it. Simply click in each \"cell\" with code in it, such as the cell immediately below this text, and hit Shift+Return to execute that cell. As you wish, you can add a cell with the + button in the toolbar, and print values of variables, or try out variations. \n", "\n", "I've written a notebook called [Guide to Jupyter](Guide%20to%20Jupyter.ipynb) to help you get more familiar with Jupyter Labs, including adding Markdown comments, using `!` to run shell commands, and `tqdm` to show progress.\n", "\n", "## If you're new to the Command Line\n", "\n", "Please see these excellent guides: [Command line on PC](https://chatgpt.com/share/67b0acea-ba38-8012-9c34-7a2541052665) and [Command line on Mac](https://chatgpt.com/canvas/shared/67b0b10c93a081918210723867525d2b). \n", "\n", "## If you'd prefer to work in IDEs\n", "\n", "If you're more comfortable in IDEs like VSCode, Cursor or PyCharm, they both work great with these lab notebooks too. \n", "If you'd prefer to work in VSCode, [here](https://chatgpt.com/share/676f2e19-c228-8012-9911-6ca42f8ed766) are instructions from an AI friend on how to configure it for the course.\n", "\n", "## If you'd like to brush up your Python\n", "\n", "I've added a notebook called [Intermediate Python](Intermediate%20Python.ipynb) to get you up to speed. But you should give it a miss if you already have a good idea what this code does: \n", "`yield from {book.get(\"author\") for book in books if book.get(\"author\")}`\n", "\n", "## I am here to help\n", "\n", "If you have any problems at all, please do reach out. \n", "I'm available through the platform, or at ed@edwarddonner.com, or at https://www.linkedin.com/in/eddonner/ if you'd like to connect (and I love connecting!) \n", "And this is new to me, but I'm also trying out X/Twitter at [@edwarddonner](https://x.com/edwarddonner) - if you're on X, please show me how it's done 😂 \n", "\n", "## More troubleshooting\n", "\n", "Please see the [troubleshooting](troubleshooting.ipynb) notebook in this folder to diagnose and fix common problems. At the very end of it is a diagnostics script with some useful debug info.\n", "\n", "## For foundational technical knowledge (eg Git, APIs, debugging) \n", "\n", "If you're relatively new to programming -- I've got your back! While it's ideal to have some programming experience for this course, there's only one mandatory prerequisite: plenty of patience. 😁 I've put together a set of self-study guides that cover Git and GitHub, APIs and endpoints, beginner python and more.\n", "\n", "This covers Git and GitHub; what they are, the difference, and how to use them: \n", "https://github.com/ed-donner/agents/blob/main/guides/03_git_and_github.ipynb\n", "\n", "This covers technical foundations: \n", "ChatGPT vs API; taking screenshots; Environment Variables; Networking basics; APIs and endpoints: \n", "https://github.com/ed-donner/agents/blob/main/guides/04_technical_foundations.ipynb\n", "\n", "This covers Python for beginners, and making sure that a `NameError` never trips you up: \n", "https://github.com/ed-donner/agents/blob/main/guides/06_python_foundations.ipynb\n", "\n", "This covers the essential techniques for figuring out errors: \n", "https://github.com/ed-donner/agents/blob/main/guides/08_debugging.ipynb\n", "\n", "And you'll find other useful guides in the same folder in GitHub. Some information applies to my other Udemy course (eg Async Python) but most of it is very relevant for LLM engineering.\n", "\n", "## If this is old hat!\n", "\n", "If you're already comfortable with today's material, please hang in there; you can move swiftly through the first few labs - we will get much more in depth as the weeks progress. Ultimately we will fine-tune our own LLM to compete with OpenAI!\n", "\n", "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", "

Please read - important note

\n", " The way I collaborate with you may be different to other courses you've taken. I prefer not to type code while you watch. Rather, I execute Jupyter Labs, like this, and give you an intuition for what's going on. My suggestion is that you carefully execute this yourself, after watching the lecture. Add print statements to understand what's going on, and then come up with your own variations. If you have a Github account, use this to showcase your variations. Not only is this essential practice, but it demonstrates your skills to others, including perhaps future clients or employers...\n", "
\n", "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", "

This code is a live resource - keep an eye out for my emails

\n", " I push updates to the code regularly. As people ask questions, I add more examples or improved commentary. As a result, you'll notice that the code below isn't identical to the videos. Everything from the videos is here; but I've also added better explanations and new models like DeepSeek. Consider this like an interactive book.

\n", " I try to send emails regularly with important updates related to the course. You can find this in the 'Announcements' section of Udemy in the left sidebar. You can also choose to receive my emails via your Notification Settings in Udemy. I'm respectful of your inbox and always try to add value with my emails!\n", " \n", "
\n", "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", "

Business value of these exercises

\n", " A final thought. While I've designed these notebooks to be educational, I've also tried to make them enjoyable. We'll do fun things like have LLMs tell jokes and argue with each other. But fundamentally, my goal is to teach skills you can apply in business. I'll explain business implications as we go, and it's worth keeping this in mind: as you build experience with models and techniques, think of ways you could put this into action at work today. Please do contact me if you'd like to discuss more or if you have ideas to bounce off me.\n", "
" ] }, { "cell_type": "code", "execution_count": 2, "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", "metadata": {}, "outputs": [], "source": [ "# imports\n", "\n", "import os\n", "import requests\n", "from dotenv import load_dotenv\n", "from bs4 import BeautifulSoup\n", "from IPython.display import Markdown, display\n", "from openai import OpenAI\n", "\n", "# If you get an error running this cell, then please head over to the troubleshooting notebook!" ] }, { "cell_type": "markdown", "id": "6900b2a8-6384-4316-8aaa-5e519fca4254", "metadata": {}, "source": [ "# Connecting to OpenAI (or Ollama)\n", "\n", "The next cell is where we load in the environment variables in your `.env` file and connect to OpenAI. \n", "\n", "If you'd like to use free Ollama instead, please see the README section \"Free Alternative to Paid APIs\", and if you're not sure how to do this, there's a full solution in the solutions folder (day1_with_ollama.ipynb).\n", "\n", "## Troubleshooting if you have problems:\n", "\n", "Head over to the [troubleshooting](troubleshooting.ipynb) notebook in this folder for step by step code to identify the root cause and fix it!\n", "\n", "If you make a change, try restarting the \"Kernel\" (the python process sitting behind this notebook) by Kernel menu >> Restart Kernel and Clear Outputs of All Cells. Then try this notebook again, starting at the top.\n", "\n", "Or, contact me! Message me or email ed@edwarddonner.com and we will get this to work.\n", "\n", "Any concerns about API costs? See my notes in the README - costs should be minimal, and you can control it at every point. You can also use Ollama as a free alternative, which we discuss during Day 2." ] }, { "cell_type": "code", "execution_count": null, "id": "7b87cadb-d513-4303-baee-a37b6f938e4d", "metadata": {}, "outputs": [], "source": [ "# Load environment variables in a file called .env\n", "\n", "load_dotenv(override=True)\n", "api_key = os.getenv('OPENAI_API_KEY')\n", "\n", "# Check the key\n", "\n", "if not api_key:\n", " print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", "elif not api_key.startswith(\"sk-proj-\"):\n", " print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", "elif api_key.strip() != api_key:\n", " print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", "else:\n", " print(\"API key found and looks good so far!\")\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3", "metadata": {}, "outputs": [], "source": [ "openai = OpenAI()\n", "\n", "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n", "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions" ] }, { "cell_type": "markdown", "id": "442fc84b-0815-4f40-99ab-d9a5da6bda91", "metadata": {}, "source": [ "# Let's make a quick call to a Frontier model to get started, as a preview!" ] }, { "cell_type": "code", "execution_count": 5, "id": "a58394bf-1e45-46af-9bfd-01e24da6f49a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hello! It’s great to hear from you! How can I help you today?\n" ] } ], "source": [ "# To give you a preview -- calling OpenAI with these messages is this easy. Any problems, head over to the Troubleshooting notebook.\n", "\n", "message = \"Hello, GPT! This is my first ever message to you! Hi!\"\n", "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=[{\"role\":\"user\", \"content\":message}])\n", "print(response.choices[0].message.content)" ] }, { "cell_type": "markdown", "id": "2aa190e5-cb31-456a-96cc-db109919cd78", "metadata": {}, "source": [ "## OK onwards with our first project" ] }, { "cell_type": "code", "execution_count": 6, "id": "c5e793b2-6775-426a-a139-4848291d0463", "metadata": {}, "outputs": [], "source": [ "# A class to represent a Webpage\n", "# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", "\n", "# Some websites need you to use proper headers when fetching them:\n", "headers = {\n", " \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", "}\n", "\n", "class Website:\n", "\n", " def __init__(self, url):\n", " \"\"\"\n", " Create this Website object from the given url using the BeautifulSoup library\n", " \"\"\"\n", " self.url = url\n", " response = requests.get(url, headers=headers)\n", " soup = BeautifulSoup(response.content, 'html.parser')\n", " self.title = soup.title.string if soup.title else \"No title found\"\n", " for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", " irrelevant.decompose()\n", " self.text = soup.body.get_text(separator=\"\\n\", strip=True)" ] }, { "cell_type": "code", "execution_count": 7, "id": "2ef960cf-6dc2-4cda-afb3-b38be12f4c97", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Home - Edward Donner\n", "Home\n", "Connect Four\n", "Outsmart\n", "An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n", "About\n", "Posts\n", "Well, hi there.\n", "I’m Ed. I like writing code and experimenting with LLMs, and hopefully you’re here because you do too. I also enjoy DJing (but I’m badly out of practice), amateur electronic music production (\n", "very\n", "amateur) and losing myself in\n", "Hacker News\n", ", nodding my head sagely to things I only half understand.\n", "I’m the co-founder and CTO of\n", "Nebula.io\n", ". We’re applying AI to a field where it can make a massive, positive impact: helping people discover their potential and pursue their reason for being. Recruiters use our product today to source, understand, engage and manage talent. I’m previously the founder and CEO of AI startup untapt,\n", "acquired in 2021\n", ".\n", "We work with groundbreaking, proprietary LLMs verticalized for talent, we’ve\n", "patented\n", "our matching model, and our award-winning platform has happy customers and tons of press coverage.\n", "Connect\n", "with me for more!\n", "May 28, 2025\n", "Connecting my courses – become an LLM expert and leader\n", "May 18, 2025\n", "2025 AI Executive Briefing\n", "April 21, 2025\n", "The Complete Agentic AI Engineering Course\n", "January 23, 2025\n", "LLM Workshop – Hands-on with Agents – resources\n", "Navigation\n", "Home\n", "Connect Four\n", "Outsmart\n", "An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n", "About\n", "Posts\n", "Get in touch\n", "ed [at] edwarddonner [dot] com\n", "www.edwarddonner.com\n", "Follow me\n", "LinkedIn\n", "Twitter\n", "Facebook\n", "Subscribe to newsletter\n", "Type your email…\n", "Subscribe\n" ] } ], "source": [ "# Let's try one out. Change the website and add print statements to follow along.\n", "\n", "ed = Website(\"https://edwarddonner.com\")\n", "print(ed.title)\n", "print(ed.text)" ] }, { "cell_type": "markdown", "id": "6a478a0c-2c53-48ff-869c-4d08199931e1", "metadata": {}, "source": [ "## Types of prompts\n", "\n", "You may know this already - but if not, you will get very familiar with it!\n", "\n", "Models like GPT4o have been trained to receive instructions in a particular way.\n", "\n", "They expect to receive:\n", "\n", "**A system prompt** that tells them what task they are performing and what tone they should use\n", "\n", "**A user prompt** -- the conversation starter that they should reply to" ] }, { "cell_type": "code", "execution_count": 8, "id": "abdb8417-c5dc-44bc-9bee-2e059d162699", "metadata": {}, "outputs": [], "source": [ "# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n", "\n", "system_prompt = \"You are an assistant that analyzes the contents of a website \\\n", "and provides a short summary, ignoring text that might be navigation related. \\\n", "Respond in markdown.\"" ] }, { "cell_type": "code", "execution_count": 9, "id": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c", "metadata": {}, "outputs": [], "source": [ "# A function that writes a User Prompt that asks for summaries of websites:\n", "\n", "def user_prompt_for(website):\n", " user_prompt = f\"You are looking at a website titled {website.title}\"\n", " user_prompt += \"\\nThe contents of this website is as follows; \\\n", "please provide a short summary of this website in markdown. \\\n", "If it includes news or announcements, then summarize these too.\\n\\n\"\n", " user_prompt += website.text\n", " return user_prompt" ] }, { "cell_type": "code", "execution_count": 10, "id": "26448ec4-5c00-4204-baec-7df91d11ff2e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "You are looking at a website titled Home - Edward Donner\n", "The contents of this website is as follows; please provide a short summary of this website in markdown. If it includes news or announcements, then summarize these too.\n", "\n", "Home\n", "Connect Four\n", "Outsmart\n", "An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n", "About\n", "Posts\n", "Well, hi there.\n", "I’m Ed. I like writing code and experimenting with LLMs, and hopefully you’re here because you do too. I also enjoy DJing (but I’m badly out of practice), amateur electronic music production (\n", "very\n", "amateur) and losing myself in\n", "Hacker News\n", ", nodding my head sagely to things I only half understand.\n", "I’m the co-founder and CTO of\n", "Nebula.io\n", ". We’re applying AI to a field where it can make a massive, positive impact: helping people discover their potential and pursue their reason for being. Recruiters use our product today to source, understand, engage and manage talent. I’m previously the founder and CEO of AI startup untapt,\n", "acquired in 2021\n", ".\n", "We work with groundbreaking, proprietary LLMs verticalized for talent, we’ve\n", "patented\n", "our matching model, and our award-winning platform has happy customers and tons of press coverage.\n", "Connect\n", "with me for more!\n", "May 28, 2025\n", "Connecting my courses – become an LLM expert and leader\n", "May 18, 2025\n", "2025 AI Executive Briefing\n", "April 21, 2025\n", "The Complete Agentic AI Engineering Course\n", "January 23, 2025\n", "LLM Workshop – Hands-on with Agents – resources\n", "Navigation\n", "Home\n", "Connect Four\n", "Outsmart\n", "An arena that pits LLMs against each other in a battle of diplomacy and deviousness\n", "About\n", "Posts\n", "Get in touch\n", "ed [at] edwarddonner [dot] com\n", "www.edwarddonner.com\n", "Follow me\n", "LinkedIn\n", "Twitter\n", "Facebook\n", "Subscribe to newsletter\n", "Type your email…\n", "Subscribe\n" ] } ], "source": [ "print(user_prompt_for(ed))" ] }, { "cell_type": "markdown", "id": "ea211b5f-28e1-4a86-8e52-c0b7677cadcc", "metadata": {}, "source": [ "## Messages\n", "\n", "The API from OpenAI expects to receive messages in a particular structure.\n", "Many of the other APIs share this structure:\n", "\n", "```python\n", "[\n", " {\"role\": \"system\", \"content\": \"system message goes here\"},\n", " {\"role\": \"user\", \"content\": \"user message goes here\"}\n", "]\n", "```\n", "To give you a preview, the next 2 cells make a rather simple call - we won't stretch the mighty GPT (yet!)" ] }, { "cell_type": "code", "execution_count": 11, "id": "f25dcd35-0cd0-4235-9f64-ac37ed9eaaa5", "metadata": {}, "outputs": [], "source": [ "messages = [\n", " {\"role\": \"system\", \"content\": \"You are a snarky assistant\"},\n", " {\"role\": \"user\", \"content\": \"What is 2 + 2?\"}\n", "]" ] }, { "cell_type": "code", "execution_count": 12, "id": "21ed95c5-7001-47de-a36d-1d6673b403ce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Oh, you’re going for the big math questions now, huh? Well, if you insist on dragging me into elementary school territory, the answer is 4. Shocking, I know.\n" ] } ], "source": [ "# To give you a preview -- calling OpenAI with system and user messages:\n", "\n", "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n", "print(response.choices[0].message.content)" ] }, { "cell_type": "markdown", "id": "d06e8d78-ce4c-4b05-aa8e-17050c82bb47", "metadata": {}, "source": [ "## And now let's build useful messages for GPT-4o-mini, using a function" ] }, { "cell_type": "code", "execution_count": 13, "id": "0134dfa4-8299-48b5-b444-f2a8c3403c88", "metadata": {}, "outputs": [], "source": [ "# See how this function creates exactly the format above\n", "\n", "def messages_for(website):\n", " return [\n", " {\"role\": \"system\", \"content\": system_prompt},\n", " {\"role\": \"user\", \"content\": user_prompt_for(website)}\n", " ]" ] }, { "cell_type": "code", "execution_count": 14, "id": "36478464-39ee-485c-9f3f-6a4e458dbc9c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'role': 'system',\n", " 'content': 'You are an assistant that analyzes the contents of a website and provides a short summary, ignoring text that might be navigation related. Respond in markdown.'},\n", " {'role': 'user',\n", " 'content': 'You are looking at a website titled Home - Edward Donner\\nThe contents of this website is as follows; please provide a short summary of this website in markdown. If it includes news or announcements, then summarize these too.\\n\\nHome\\nConnect Four\\nOutsmart\\nAn arena that pits LLMs against each other in a battle of diplomacy and deviousness\\nAbout\\nPosts\\nWell, hi there.\\nI’m Ed. I like writing code and experimenting with LLMs, and hopefully you’re here because you do too. I also enjoy DJing (but I’m badly out of practice), amateur electronic music production (\\nvery\\namateur) and losing myself in\\nHacker News\\n, nodding my head sagely to things I only half understand.\\nI’m the co-founder and CTO of\\nNebula.io\\n. We’re applying AI to a field where it can make a massive, positive impact: helping people discover their potential and pursue their reason for being. Recruiters use our product today to source, understand, engage and manage talent. I’m previously the founder and CEO of AI startup untapt,\\nacquired in 2021\\n.\\nWe work with groundbreaking, proprietary LLMs verticalized for talent, we’ve\\npatented\\nour matching model, and our award-winning platform has happy customers and tons of press coverage.\\nConnect\\nwith me for more!\\nMay 28, 2025\\nConnecting my courses – become an LLM expert and leader\\nMay 18, 2025\\n2025 AI Executive Briefing\\nApril 21, 2025\\nThe Complete Agentic AI Engineering Course\\nJanuary 23, 2025\\nLLM Workshop – Hands-on with Agents – resources\\nNavigation\\nHome\\nConnect Four\\nOutsmart\\nAn arena that pits LLMs against each other in a battle of diplomacy and deviousness\\nAbout\\nPosts\\nGet in touch\\ned [at] edwarddonner [dot] com\\nwww.edwarddonner.com\\nFollow me\\nLinkedIn\\nTwitter\\nFacebook\\nSubscribe to newsletter\\nType your email…\\nSubscribe'}]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Try this out, and then try for a few more websites\n", "\n", "messages_for(ed)" ] }, { "cell_type": "markdown", "id": "16f49d46-bf55-4c3e-928f-68fc0bf715b0", "metadata": {}, "source": [ "## Time to bring it together - the API for OpenAI is very simple!" ] }, { "cell_type": "code", "execution_count": 15, "id": "905b9919-aba7-45b5-ae65-81b3d1d78e34", "metadata": {}, "outputs": [], "source": [ "# And now: call the OpenAI API. You will get very familiar with this!\n", "\n", "def summarize(url):\n", " website = Website(url)\n", " response = openai.chat.completions.create(\n", " model = \"gpt-4o-mini\",\n", " messages = messages_for(website)\n", " )\n", " return response.choices[0].message.content" ] }, { "cell_type": "code", "execution_count": 16, "id": "05e38d41-dfa4-4b20-9c96-c46ea75d9fb5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'# Summary of Edward Donner\\'s Website\\n\\nThe website is the personal platform of Ed Donner, a software engineer and co-founder/CTO of Nebula.io, an AI-focused company that aims to help individuals discover their potential through technology. Ed expresses his passion for coding, experimenting with large language models (LLMs), and interests in DJing and electronic music production.\\n\\n## Key Sections:\\n- **About Ed**: Provides personal background, detailing his experience in AI startups, including his previous venture, untapt, which was acquired in 2021. He highlights the use of patented matching models and LLMs in talent management.\\n- **Connect Four & Outsmart**: Features interactive games or platforms where LLMs engage in diplomatic and strategic challenges.\\n- **Courses & Announcements**:\\n - **May 28, 2025**: Announced a course focused on becoming an LLM expert and leader.\\n - **May 18, 2025**: Announcement for the 2025 AI Executive Briefing.\\n - **April 21, 2025**: Introduction of \"The Complete Agentic AI Engineering Course.\"\\n - **January 23, 2025**: A workshop providing hands-on experience with agents and associated resources.\\n\\nThe website also encourages visitors to connect and engage through various social media platforms and a newsletter subscription.'" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "summarize(\"https://edwarddonner.com\")" ] }, { "cell_type": "code", "execution_count": 17, "id": "3d926d59-450e-4609-92ba-2d6f244f1342", "metadata": {}, "outputs": [], "source": [ "# A function to display this nicely in the Jupyter output, using markdown\n", "\n", "def display_summary(url):\n", " summary = summarize(url)\n", " display(Markdown(summary))" ] }, { "cell_type": "code", "execution_count": 18, "id": "3018853a-445f-41ff-9560-d925d1774b2f", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "# Summary of \"Home - Edward Donner\"\n", "\n", "The website is dedicated to Edward Donner, a co-founder and CTO of Nebula.io, a platform focused on leveraging AI to assist individuals in discovering their potential and engaging with talent. Edward expresses an interest in coding, experiments with large language models (LLMs), DJing, and electronic music production. He has a history as the founder of an AI startup, untapt, which was acquired in 2021.\n", "\n", "## Key Features:\n", "- **Connect Four**: A game involving LLMs competing in diplomacy and strategy.\n", "- **About**: Information about Edward's professional background and interests.\n", "- **Courses and Workshops**: \n", " - **Recent Announcements**:\n", " - **May 28, 2025**: Launch of a program to become an LLM expert and leader.\n", " - **May 18, 2025**: Announcement of a 2025 AI Executive Briefing.\n", " - **April 21, 2025**: Introduction of the Complete Agentic AI Engineering Course.\n", " - **January 23, 2025**: A hands-on LLM Workshop focusing on resources related to agents.\n", "\n", "The content emphasizes his passion for AI and education within the industry." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display_summary(\"https://edwarddonner.com\")" ] }, { "cell_type": "markdown", "id": "b3bcf6f4-adce-45e9-97ad-d9a5d7a3a624", "metadata": {}, "source": [ "# Let's try more websites\n", "\n", "Note that this will only work on websites that can be scraped using this simplistic approach.\n", "\n", "Websites that are rendered with Javascript, like React apps, won't show up. See the community-contributions folder for a Selenium implementation that gets around this. You'll need to read up on installing Selenium (ask ChatGPT!)\n", "\n", "Also Websites protected with CloudFront (and similar) may give 403 errors - many thanks Andy J for pointing this out.\n", "\n", "But many websites will work just fine!" ] }, { "cell_type": "code", "execution_count": 19, "id": "45d83403-a24c-44b5-84ac-961449b4008f", "metadata": {}, "outputs": [ { "data": { "text/markdown": [ "# CNN Website Summary\n", "\n", "CNN is a major news outlet that provides comprehensive coverage of world events, featuring sections on U.S. and international news, political analysis, business, health, entertainment, and sports. The site emphasizes real-time updates and includes various multimedia formats such as videos and articles.\n", "\n", "### Notable Articles and Updates\n", "\n", "- **Ukraine-Russia War**: Pro-Ukraine protests are ongoing, and there are discussions regarding dignitaries meeting on U.S. soil amidst rising tensions.\n", " \n", "- **Israel-Hamas Conflict**: Analysis and reports highlight significant developments including Israel’s settlement plans which may impact the future of a Palestinian state.\n", "\n", "- **Health**: New heart health guidelines suggest going alcohol-free; studies indicate a high level of stress among teenagers.\n", "\n", "- **Entertainment**:\n", " - Megadeth is set to release its final album and embark on a farewell tour.\n", " - Taylor Swift's recent appearances are noted for cultural impact.\n", "\n", "- **Science**: Climate-related findings unveil vulnerabilities in GPS and satellites due to pollution.\n", "\n", "- **Business**: Discussions are ongoing about potential government stake in Intel, affecting stock prices.\n", "\n", "### Additional Features\n", "CNN also offers a variety of interactive content including quizzes, games, and newsletters tailored to reader interests. The site encourages user engagement through feedback on advertisements and technical issues.\n", "\n", "Overall, CNN remains a significant source for breaking news and in-depth analysis across a broad spectrum of topics." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display_summary(\"https://cnn.com\")" ] }, { "cell_type": "code", "execution_count": null, "id": "75e9fd40-b354-4341-991e-863ef2e59db7", "metadata": {}, "outputs": [], "source": [ "display_summary(\"https://anthropic.com\")" ] }, { "cell_type": "code", "execution_count": 20, "id": "00743dac-0e70-45b7-879a-d7293a6f68a6", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Subject: Leave Notification: Medical Emergency (Aug 17-21, 2025)\n" ] } ], "source": [ "# Step 1: Create your prompts\n", "\n", "system_prompt = \"you are the email assistant, which provide the subject of the email\"\n", "user_prompt = \"\"\"\n", " please provide the appropriate subject for below email\n", "hi team,\n", "due to some medical emergency , i will be on leave for 5 days starting\n", "from 17-08-2025 to 21-08-2025.\n", "\n", "please call me in case of any urgency.\n", "\n", "regards\n", "Rahul\n", "\"\"\"\n", "\n", "# Step 2: Make the messages list\n", "\n", "messages = [\n", " {\"role\": \"system\", \"content\": system_prompt},\n", " {\"role\": \"user\", \"content\": user_prompt}\n", "]\n", "\n", "# Step 3: Call OpenAI\n", "response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n", "\n", "\n", "# Step 4: print the result\n", "\n", "print(response.choices[0].message.content)" ] }, { "cell_type": "markdown", "id": "36ed9f14-b349-40e9-a42c-b367e77f8bda", "metadata": {}, "source": [ "## An extra exercise for those who enjoy web scraping\n", "\n", "You may notice that if you try `display_summary(\"https://openai.com\")` - it doesn't work! That's because OpenAI has a fancy website that uses Javascript. There are many ways around this that some of you might be familiar with. For example, Selenium is a hugely popular framework that runs a browser behind the scenes, renders the page, and allows you to query it. If you have experience with Selenium, Playwright or similar, then feel free to improve the Website class to use them. In the community-contributions folder, you'll find an example Selenium solution from a student (thank you!)" ] }, { "cell_type": "markdown", "id": "eeab24dc-5f90-4570-b542-b0585aca3eb6", "metadata": {}, "source": [ "# Sharing your code\n", "\n", "I'd love it if you share your code afterwards so I can share it with others! You'll notice that some students have already made changes (including a Selenium implementation) which you will find in the community-contributions folder. If you'd like add your changes to that folder, submit a Pull Request with your new versions in that folder and I'll merge your changes.\n", "\n", "If you're not an expert with git (and I am not!) then GPT has given some nice instructions on how to submit a Pull Request. It's a bit of an involved process, but once you've done it once it's pretty clear. As a pro-tip: it's best if you clear the outputs of your Jupyter notebooks (Edit >> Clean outputs of all cells, and then Save) for clean notebooks.\n", "\n", "Here are good instructions courtesy of an AI friend: \n", "https://chatgpt.com/share/677a9cb5-c64c-8012-99e0-e06e88afd293" ] }, { "cell_type": "code", "execution_count": null, "id": "f4484fcf-8b39-4c3f-9674-37970ed71988", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 5 }