This project is my Final Project for Udacity's Generative AI with AWS course. It focuses on developing a financial domain-specific language model by fine-tuning Meta's Llama 2 7B model on a dataset tailored to the finance dataset provided.
Fine-Tune the Model: Utilize Amazon SageMaker and other AWS tools to customize the pre-trained Llama 2 7B model for the financial domain.
Domain Expertise: Train the model on a financial dataset, enhancing its understanding of finance-specific language and concepts.
AWS Tools: Gained hands-on experience with Amazon SageMaker within a $25 budget.
Trained Model: A fine-tuned language model proficient in the financial domain.
Training the Model: Set up an AWS environment, deployed Amazon SageMaker, and fine-tuned the Meta Llama 2 7B model within the course's budget constraints.
This project successfully fine-tuned Meta's Llama 2 7B model to act as a financial domain expert, providing accurate and relevant responses to finance-related questions. By working within a $25 AWS budget, created a model that can enhance customer interactions, improve information delivery, and support content creation for financial topics.