llm-fine-tuning-guide

What problem does it solve?

This Skill provides a comprehensive guide to fine-tuning large language models, enabling users to adapt powerful AI models for specific domains, tasks, and performance requirements.

Core Features & Use Cases

• Fine-Tuning Techniques: Covers Full Fine-Tuning, LoRA, QLoRA, and Instruction Fine-Tuning.
• Data Preparation: Includes utilities for validation, augmentation, and splitting datasets.
• Evaluation: Provides methods for calculating perplexity and task-specific metrics.
• Use Case: Adapt a general-purpose LLM to understand and generate legal jargon accurately for a law firm's internal document analysis.

Quick Start

Run the lora_fine_tuning.py script to begin parameter-efficient fine-tuning.