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course on large language models

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Course on Large Language Models (LLMs)

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.

Overview

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.

What You Will Learn

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.

Extras

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.

Prerequisites

Basic programming knowledge (Python recommended).
An API key from OpenAI.

How to Use This Notebook

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!

Contributors

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.