What are the different ways to use and finetune pretrained large language models (LLMs)? The most common ways to use and finetune pretrained LLMs include a feature-based approach, in-context prompting, and updating a subset of the model parameters.| magazine.sebastianraschka.com
Discover self-supervised learning concepts & examples! Learn how it automates labeling & leverages data. Explore real-world applications.| Analytics Yogi
I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).| Sebastian Raschka, PhD
Several people asked me to dive a bit deeper into large language model (LLM) jargon and explain some of the more technical terms we nowadays take for granted. This includes references to "encoder-style" and "decoder-style" LLMs. What do these terms mean?| magazine.sebastianraschka.com