EY India has developed a ‘Customised Fine-Tuned LLM’ for the Banking, Financial Services, and Insurance (BFSI) sector, aimed at improving customer service and operational efficiency.
Designed to accommodate localized customer service needs, regulatory requirements, and multilingual support in English and Hindi, the model leverages the fine-tuned LLAMA 3.1-8B instruct model to address BFSI customer care challenges. The model has been trained on Indian BFSI domain data, using Parameter Efficient Fine Tuning with Low Rank Adaptation techniques.
“By integrating AI into their daily business, banks can unlock new revenue streams, improve financial resilience, and contribute significantly to the broader economic landscape, reinforcing India’s position as a leader in the AI-driven economy,” Mahesh Makhija, Partner and Technology Consulting Leader, EY India.
As the industry shifts towards vertical LLMs, EY India’s model provides AI-driven capabilities, including enhanced answer accuracy, intent recognition, contextual comprehension, and BFSI-specific vocabulary depth.
