ss-fine-tuning-expert

What problem does it solve?

This Skill streamlines the complex process of fine-tuning Large Language Models (LLMs), enabling users to adapt foundation models for specific tasks and deploy them efficiently.

Core Features & Use Cases

• Dataset Preparation: Validates and formats training data for optimal model performance.
• PEFT Implementation: Guides the selection and configuration of Parameter-Efficient Fine-Tuning techniques like LoRA and QLoRA.
• Hyperparameter Tuning: Provides recommendations for learning rates, batch sizes, and schedulers.
• Evaluation & Deployment: Offers metrics and strategies for benchmarking and deploying fine-tuned models.
• Use Case: Fine-tune a Llama 3 model on your company's internal documentation to create a specialized chatbot that can answer employee questions accurately.

Quick Start

Use the ss-fine-tuning-expert skill to prepare a JSONL dataset for fine-tuning an LLM.