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{
"cells": [
{
"cell_type": "markdown",
"id": "d15d8294-3328-4e07-ad16-8a03e9bbfdb9",
"metadata": {},
"source": [
"# Welcome to your first assignment!\n",
"\n",
"Instructions are below. Please give this a try, and look in the solutions folder if you get stuck (or feel free to ask me!)"
]
},
{
"cell_type": "markdown",
"id": "ada885d9-4d42-4d9b-97f0-74fbbbfe93a9",
"metadata": {},
"source": [
"<table style=\"margin: 0; text-align: left;\">\n",
" <tr>\n",
" <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
" <img src=\"../resources.jpg\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
" </td>\n",
" <td>\n",
" <h2 style=\"color:#f71;\">Just before we get to the assignment --</h2>\n",
" <span style=\"color:#f71;\">I thought I'd take a second to point you at this page of useful resources for the course. This includes links to all the slides.<br/>\n",
" <a href=\"https://edwarddonner.com/2024/11/13/llm-engineering-resources/\">https://edwarddonner.com/2024/11/13/llm-engineering-resources/</a><br/>\n",
" Please keep this bookmarked, and I'll continue to add more useful links there over time.\n",
" </span>\n",
" </td>\n",
" </tr>\n",
"</table>"
]
},
{
"cell_type": "markdown",
"id": "6e9fa1fc-eac5-4d1d-9be4-541b3f2b3458",
"metadata": {},
"source": [
"# HOMEWORK EXERCISE ASSIGNMENT\n",
"\n",
"Upgrade the day 1 project to summarize a webpage to use an Open Source model running locally via Ollama rather than OpenAI\n",
"\n",
"You'll be able to use this technique for all subsequent projects if you'd prefer not to use paid APIs.\n",
"\n",
"**Benefits:**\n",
"1. No API charges - open-source\n",
"2. Data doesn't leave your box\n",
"\n",
"**Disadvantages:**\n",
"1. Significantly less power than Frontier Model\n",
"\n",
"## Recap on installation of Ollama\n",
"\n",
"Simply visit [ollama.com](https://ollama.com) and install!\n",
"\n",
"Once complete, the ollama server should already be running locally. \n",
"If you visit: \n",
"[http://localhost:11434/](http://localhost:11434/)\n",
"\n",
"You should see the message `Ollama is running`. \n",
"\n",
"If not, bring up a new Terminal (Mac) or Powershell (Windows) and enter `ollama serve` \n",
"And in another Terminal (Mac) or Powershell (Windows), enter `ollama pull llama3.2` \n",
"Then try [http://localhost:11434/](http://localhost:11434/) again.\n",
"\n",
"If Ollama is slow on your machine, try using `llama3.2:1b` as an alternative. Run `ollama pull llama3.2:1b` from a Terminal or Powershell, and change the code below from `MODEL = \"llama3.2\"` to `MODEL = \"llama3.2:1b\"`"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
"metadata": {},
"outputs": [],
"source": [
"# imports\n",
"\n",
"import requests\n",
"from bs4 import BeautifulSoup\n",
"from IPython.display import Markdown, display"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "29ddd15d-a3c5-4f4e-a678-873f56162724",
"metadata": {},
"outputs": [],
"source": [
"# Constants\n",
"\n",
"OLLAMA_API = \"http://localhost:11434/api/chat\"\n",
"HEADERS = {\"Content-Type\": \"application/json\"}\n",
"MODEL = \"llama3.2\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "dac0a679-599c-441f-9bf2-ddc73d35b940",
"metadata": {},
"outputs": [],
"source": [
"# Create a messages list using the same format that we used for OpenAI\n",
"\n",
"messages = [\n",
" {\"role\": \"user\", \"content\": \"Describe some of the business applications of Generative AI\"}\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "7bb9c624-14f0-4945-a719-8ddb64f66f47",
"metadata": {},
"outputs": [],
"source": [
"payload = {\n",
" \"model\": MODEL,\n",
" \"messages\": messages,\n",
" \"stream\": False\n",
" }"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "42b9f644-522d-4e05-a691-56e7658c0ea9",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Generative AI has numerous business applications across various industries, including:\n",
"\n",
"1. **Content Creation**: Generative AI can be used to generate high-quality content such as articles, social media posts, product descriptions, and even entire books. This can help businesses save time and resources while maintaining consistency in their content.\n",
"2. **Image and Video Generation**: Generative AI can create realistic images and videos for various purposes, such as:\n",
" * Product visualization: Generate 3D models or animations to showcase products in different scenarios.\n",
" * Advertising: Create custom graphics, billboards, or social media ads with unique visuals.\n",
" * Training simulations: Develop realistic training simulations for employees, customers, or patients.\n",
"3. **Marketing and Advertising**: Generative AI can help businesses:\n",
" * Personalize ads: Generate targeted ads based on customer preferences, behavior, and demographics.\n",
" * Improve product recommendation engines: Create personalized recommendations using generative models.\n",
" * Automate social media management: Generate social media posts, engage with customers, and monitor online conversations.\n",
"4. **Product Design**: Generative AI can aid in:\n",
" * Product design: Generate 3D models, prototypes, or design concepts for new products.\n",
" * Fashion design: Create custom clothing, accessories, or interior designs using generative algorithms.\n",
"5. **Customer Service**: Generative AI can help businesses:\n",
" * Automate customer support chatbots: Use generative models to respond to customer inquiries and resolve issues.\n",
" * Generate personalized customer experiences: Develop customized content, offers, or recommendations based on customer behavior and preferences.\n",
"6. **Audio and Music Generation**: Generative AI can be used to create:\n",
" * Original music compositions: Compose unique music tracks for ads, videos, or films.\n",
" * Podcasts and audiobooks: Generate custom audio content for businesses or clients.\n",
"7. **Data Augmentation**: Generative AI can help businesses augment their datasets by generating new data points, which can improve the accuracy of machine learning models.\n",
"8. **Supply Chain Optimization**: Generative AI can be used to:\n",
" * Predict demand: Use generative models to forecast demand and optimize inventory levels.\n",
" * Optimize logistics: Generate routes, schedules, or shipping plans using generative algorithms.\n",
"9. **Financial Modeling**: Generative AI can help businesses create more accurate financial models by generating new scenarios, forecasts, or predictions based on historical data.\n",
"10. **Innovation**: Generative AI can facilitate innovation in various industries by:\n",
" * Generating new product ideas: Use generative models to come up with novel products or services.\n",
" * Developing new business strategies: Create customized plans and proposals for clients using generative algorithms.\n",
"\n",
"These are just a few examples of the many business applications of Generative AI. As the technology continues to evolve, we can expect to see even more innovative uses in various industries.\n"
]
}
],
"source": [
"response = requests.post(OLLAMA_API, json=payload, headers=HEADERS)\n",
"print(response.json()['message']['content'])"
]
},
{
"cell_type": "markdown",
"id": "6a021f13-d6a1-4b96-8e18-4eae49d876fe",
"metadata": {},
"source": [
"# Introducing the ollama package\n",
"\n",
"And now we'll do the same thing, but using the elegant ollama python package instead of a direct HTTP call.\n",
"\n",
"Under the hood, it's making the same call as above to the ollama server running at localhost:11434"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7745b9c4-57dc-4867-9180-61fa5db55eb8",
"metadata": {},
"outputs": [],
"source": [
"import ollama\n",
"\n",
"response = ollama.chat(model=MODEL, messages=messages)\n",
"print(response['message']['content'])"
]
},
{
"cell_type": "markdown",
"id": "1622d9bb-5c68-4d4e-9ca4-b492c751f898",
"metadata": {},
"source": [
"# NOW the exercise for you\n",
"\n",
"Take the code from day1 and incorporate it here, to build a website summarizer that uses Llama 3.2 running locally instead of OpenAI"
]
}
],
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