Large Language Models
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Large Language Models Overview
Large Language Models Overview
Large Language Models are an increasingly important AI model in the area of Natural Language Processing. Learn what they are and what they can do for business in this lesson.
How LLMs Work
How LLMs Work
Large Language Models work by predicting upcoming words in a sentence based on the patterns they find in their training data. Learn what this means, and how these models are trained in this lesson.
Understanding Transformers
Understanding Transformers
The transformer model is the key deep learning model that makes Large Language Models possible. This lesson introduces the fundamentals of the transformer model and the attention mechanism that makes it work.
LLM Model Architectures
LLM Model Architectures
There are three different types of transformer architecture: encoder, decoder, and encoder-decoder. Learn what these are, how they differ, and where they're used in this lesson.
Parameters of LLMs
Parameters of LLMs
When running an LLM, it's usually possible to adjust model parameters to adjust the output of the model. Using GPT as an example, we'll see how this works in this lesson.
Fine Tuning an LLM
Fine Tuning an LLM
Fine tuning an LLM allows a broad foundation model to be customized to a specific task. Learn about different methods for fine tuning an LLM in this lesson.
Future LLM Trends
Future LLM Trends
Large Language Models are growing increasingly important in the area of AI. This lesson will discuss some potential future improvements in the area that may be of relevance to businesses.
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