Fine-tuned Llama 2 LLM for financial domain expertise using AWS SageMaker. This project demonstrates parameter-efficient fine-tuning (PEFT) with LoRA to transform a general-purpose language model into a specialized financial analysis assistant. Includes model evaluation, fine-tuning pipeline, and deployment code with complete AWS implementation. - View it on GitHub