Welcome to the "Course on Large Language Models," a structured educational resource designed to deepen your understanding and practical skills with Large Language Models (LLMs) using OpenAI's platform.
This course is divided into five main parts, each focusing on a key aspect of working with LLMs. Starting from basic API connections to advanced topics like embeddings and function calling, this course offers a comprehensive journey through the capabilities of LLMs.
- API Connections: How to establish and manage connections with LLMs through APIs.
- Completion Parameters: Understanding and manipulating parameters for tailored outputs.
- Prompt Engineering: Techniques for crafting effective prompts to guide the model's responses.
- Embeddings: Leveraging embeddings for deeper model understanding and comparison.
- Function Calling: Advanced uses of LLMs, including dynamic function calling within prompts.
Beyond the core content, the course provides additional insights into:
- Creating and managing your API key for OpenAI.
- Running local instances of LLMs for development and testing.
- Understanding the context window's importance.
- Usage of Virtual Memory for large-scale LLMs.
- Strategies for fine-tuning LLMs to specific needs.
- Basic programming knowledge (Python recommended).
- An API key from OpenAI.
Follow the parts in order, completing tasks and exercises as you go. Experiment with the code cells to reinforce your learning. Refer to the "Extras" section for additional tools and techniques beyond the course scope. Happy learning!
This course was created by Birk Gustav Samson Stoveland, Olav Selnes Lorentzen and Sverre Nystad. Using our combined experiences out in industry, programming, and machine learning, we have crafted this course to help you understand and work with Large Language Models.
 Birk Gustav Samson Stoveland |
 Olav Selnes Lorentzen |
 Sverre Nystad |