Webinar: Building an LLMOps Stack for Large Language Models
Learn how to use different components in an LLMOps stack to make sure your LLMs investmet doesn't go down the drain.
Blog
Check out our latest blog posts to learn all things Large Language Models (LLMs)!
Parameter-Efficient Fine-Tuning (PEFT): Enhancing Large Language Models with Minimal Costs
PEFT is the easiest way to optimise costs when fine tuning Large Language Models (LLMs). Learn more!
Keeping Your Machine Learning Models on the Right Track: Getting Started with MLflow, Part 2
A deeper dive into how to use MLflow for streamlining your MLOps best practices.
Keeping Your Machine Learning Models on the Right Track: Getting Started with MLflow, Part 1
MLflow is the MLOps standard for tracking ML experiments and models. Learn how to get started.
What is Machine Learning Drift, and How it Can Negatively Affect Your Machine Learning Investment
Learn what is Machine Learning Drift and how to avoid it.