In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions. However, in the era of Artificial Intelligence (AI), new paths for analysis and prediction have emerged. One such innovation is the integration of Large Language Models (LLMs) into financial applications, particularly for sentiment analysis and explainability. Within FAME, IBM and ATOS teams are exploring the potential of LLMs in predicting currency-pair prices.

Read the full article on project FAME's blog (linked below)