Commencis launches new Turkish LLM for banking & financial services

By Gloria Methri

Commencis, a specialist in digital transformation technology, has introduced Commencis LLM, a Turkish-specific large language model (LLM) developed for banking and financial services. Trained with customized data sets tailored to meet the specific needs of these sectors, the model is designed to automate customer service, generate content, and analyse data for users and customers alike.

Commencis LLM can improve user experience in critical functions such as live support and data analysis. The model’s versatility allows it to be customized and adapted across other sectors, including aviation, insurance, and telecommunications, as well as banking and finance.

The Language Model comes with an on-prem installation option, allowing companies to use Commencis LLM with full security within their infrastructure.

Commencis LLM is the product of extensive research, data production, and training activities on language models such as Llama 2, Mistral, Zephyr, and OpenChat 3.5.

Firat Isbecer, Co-founder and CEO of Commencis said, “With over 20 years of experience in the industry, we have collaborated with leading banks and financial services providers to create some outstanding digital success stories. CommencesLLM is designed to bring its depth of understanding and interaction capabilities to bear on providing a better customer experience and increasing the speed of problem-solving in financial services. This will help both reduce costs and improve the quality of current digital services offerings at banks. Looking ahead, our focus will be on helping our clients increase customer loyalty and on providing them with a competitive advantage through hyper-personalization and rapid response technologies.”

Commencis provides the latest technologies in digital banking products, payment, identity verification, and end-to-end customer experience solutions in the financial services industry. Artificial intelligence will enable companies to understand customer behaviours better, offer more personalized services, further automate transaction processes, and enhance security measures.