Whitepapers and E-books
Resource page for fintech professionalsAI in banking: LLMs and personalized ChatGPTs
The easy availability of AI models such as GPT-4 is opening up many new applications for the banking industry. In our white paper, we explain how LLMs and prompts work and how financial institutions can use ChatGPT and similar LLMs to their advantage.
Large language models – how banks can use AI
Your company has huge amounts of data at its disposal: data from customer communications such as phone calls, chats, and emails, plus internal data from documents stored on your intranet and servers or in other databases. With AI, or – more precisely – a personalized AI assistant, this company-specific data can be combined with the power and intelligence of ChatGPT to develop a chatbot for your employees and customers. Used correctly, AI can provide a decisive advantage in the banking industry by improving efficiency.
More Whitepapers of ti&m
Items from the same categoryData-Driven Banking Strategies
Google, HSLU and ti&m explain how the increasing amount of data and advances in AI will decisively shape banking in the future. Read our free whitepaper on data-driven banking to learn how
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