Fine Tuning Large Language Models

These flashcards cover key terms related to fine-tuning large language models, ethical concerns in AI usage, and institutional guidelines at NTNU.

Fine Tuning

The process of making small adjustments or improvements to a model's performance after initial training.

Large Language Models (LLMs)

Artificial intelligence systems trained to understand and generate human language.

Ethical Considerations

Factors related to moral principles that influence the creation and use of AI technologies.

Microsoft Copilot

AI chat tool approved for use by students and employees at NTNU.

Generative AI

AI that can create content or data similar to its training material.

Academic Integrity

The commitment to honesty, trust, fairness, respect, and responsibility in academic work.

NTNU

Norwegian University of Science and Technology, which has specific guidelines for AI tool usage.

Prompt Pack

A set of structured prompts for assessing the responses of AI models.

Training Dataset

A collection of data used to train a model, designed to help it learn specific tasks.

Commercial AI Tools

AI applications available for public use that may not always align with institutional guidelines.