Glossary

The definition of Llm Sleeper Agents refers to trained deceptive language models that have the potential to retain manipulative actions, even after safety training. They are a topic of research in Machine Learning and AI safety circles.

Versioning in LLMOps is essential in managing Large Language Models, aiding in tracking changes, updates, and maintaining version control throughout the model’s lifecycle.

Experiment tracking is integral in Large Language Model Operations (LLMOPs), aiding in managing, comparing model training runs, ensuring reproducibility, and system efficiency.