ed-donner / llm_engineering

# LLM Engineering - Master AI and LLMs
## Your 8 week journey to proficiency starts today
_If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version._
I'm so happy you're joining me on this path. We'll be building immensely satisfying projects in the coming weeks. Some will be easy, some will be challenging, many will ASTOUND you! The projects build on each other so you develop deeper and deeper expertise each week. One thing's for sure: you're going to have a lot of fun along the way.
Any questions, please ask me on Udemy or at ed@edwarddonner.com. More details at the top of the course resources here.
### Answers to the most common questions
My Cursor looks different to yours (new splash screen) 
Can I use Gemini or free models instead of OpenAI Yes! 
Where are the course resources 
How does this course fit in with your others? 
Can I take this course with no programming background? 
What job can I get after taking this course? 
### Before you begin
I'm here to help you be most successful with your learning. If you hit any snafus, or if you have any ideas on how I can improve the course, please do reach out in the platform or by emailing me direct (ed@edwarddonner.com). It's always great to connect with people on LinkedIn to build up the community - you'll find me here: 
https://www.linkedin.com/in/eddonner/ 
And I'm starting to build a YouTube channel with extra content - please check it out here. 
And this is new to me, but I'm also trying out X/Twitter at @edwarddonner - if you're on X, please show me how it's done 😂 
Resources to accompany the course, including the slides and useful links, are here: 
https://edwarddonner.com/2024/11/13/llm-engineering-resources/
My digital twin that can answer common FAQ (and get me involved!) is here: 
https://edwarddonner.com/avatar/
## Instant Gratification instructions for Week 1, Day 1 - with Llama 3.2 **not** Llama 3.3
### Important note: see my warning about Llama3.3 below - it's too large for home computers! Stick with llama3.2 - several students have missed this warning...
We will start the course by installing Ollama so you can see results immediately!
1. Download and install Ollama from https://ollama.com noting that on a PC you might need to have administrator permissions for the install to work properly. On a Mac, the current release of Ollama requires MacOS 14.0 or later; for older Macs please check the Ollama releases page for a version compatible with your Mac.
2. On a PC, start a Command prompt / Powershell (Press Win + R, type `cmd`, and press Enter). On a Mac, start a Terminal (Applications > Utilities > Terminal).
3. Run `ollama run llama3.2` or for smaller machines try `ollama run llama3.2:1b` - **please note** steer clear of Meta's latest model llama3.3 because at 70B parameters that's way too large for most home computers! 
4. If this doesn't work: you may need to run `ollama serve` in a