Architecting the AI Lifecycle in Financial Services: Accelerating Workloads with GPUs and Fine-Tuning LLMs for Customer-Focused Solutions
As the financial services industry continues to embrace digital transformation, the potential of AI to drive operational efficiency and customer engagement has never been greater. In this session, we will present a two-part deep dive into the architecture and orchestration of the AI lifecycle, with a focus on practical applications for financial institutions.
The first part will explore the advantages of leveraging GPUs to accelerate existing workloads and unlock new opportunities. Attendees will learn how AI infrastructure, powered by GPUs, can deliver faster insights, improve decision-making, and support more complex workloads, transforming the way financial services organizations operate.
The second part will focus on fine-tuning Large Language Models (LLMs) to create customer-focused solutions. Using a live demo, we’ll showcase the fine-tuning of the Llama 3.1 model with the Alpaca Financial Dataset to power an internal chatbot used as a knowledge base. This practical example will demonstrate how financial institutions can tailor LLMs to meet specific business needs, improving customer service and enhancing operational efficiency.
Join us for this insightful session on how to architect AI solutions that not only accelerate business processes but also create more personalized and effective customer interactions.
