Additional learning materials

Learning about AI isn't hard, we've put together some resources from around the web just for you!

Large language models

Large Language Models (LLMs) are like really smart computer programs that can understand and create human language.

They are trained on a huge amount of text data, like books, articles, and websites, which helps them learn about different topics and how people use words and phrases.

LLMs can do many tasks, such as answering questions, writing stories, and even having conversations with people.

Imagine LLMs as giant brains that have read and memorized a lot of information. When you ask them a question or give them a task, they use their knowledge to provide the best possible response. They can even learn from their interactions with people and improve their skills over time.

Some famous examples of LLMs are GPT-4, Claude, and Mistral Large. These models are very powerful and can help us with many language-related tasks, making it easier for computers to understand and communicate with humans.

As LLMs continue to improve, they will play an important role in making technology more accessible and helpful in our daily lives. Here is some information for you about the main LLM's.

OpenAI's GPT4 (Chatgpt) Anthropic's Claude Mistral AI's Large Google's Gemini 1.5 Meta's LLama

Retrieval Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG) is a new way for computers to understand and create text. It works by using two parts: a finder and a writer.

The finder looks through a big collection of information to find the most helpful parts for a specific task.

Then, the writer uses this information to make better and more relevant responses. This method allows RAG models to use a lot more knowledge than they were originally taught, making them better at answering questions, summarizing text, and having conversations.

By using extra information while writing, RAG models can create more accurate and useful answers compared to other language models.