Assistant Professor @ AHBVÜ Faculty of Financial Sciences | Bitcoin | CBDCs | Blockchain | AI
There have been approaches like CBRoberta based on BERT etc., there may be cases where it outperforms LLMs, but I don't think there are privacy etc. concerns regarding public communication of CBs for using commercial models (results also indicate that they seem to perform better as they evolve, which will only lead to increased performance). As costs are also likely to decrease, I believe the use of specific NLPs or training models will only work in niche situations. Another issue is likely to be the changing tone of individual central banks and their eagerness to act as they say they will. We have used GPT4 on CBRT speeches once but real life data may not just align with what will happen. https://lnkd.in/dRiQrP-g
Assistant Professor @ AHBVÜ Faculty of Financial Sciences | Bitcoin | CBDCs | Blockchain | AI
2mohere is our presentation back in May https://www.researchgate.net/publication/384572979_Utilizing_Large_Language_Models_and_Machine_Learning_to_Forecast_Inflation_in_Turkiye_The_Role_of_CBRT_Monetary_Committee_Reports