Fine-Tuning LLMs for Domain-Specific Tasks
Sector:
Artificial Intelligence & ML Solutions
Sector:
AI Ventures
Strategic Challenge:
Practical walkthrough of fine-tuning open-source large language models using LoRA and QLoRA for specialized business use-cases.
Dataset Preparation
Collecting, cleaning, and formatting instruction-tuning datasets to maximise training signal quality.
LoRA Configuration & Training
Choosing rank, alpha, and target modules for LoRA adapters and running efficient training on a single GPU.
Evaluation & Deployment
Benchmarking fine-tuned models with ROUGE and BERTScore, then serving them via a FastAPI inference endpoint.
