Developing countries face uncertainties driven by global macroeconomic variables over which they have little to no control. Key exogenous factors faced by most developing countries include interest ...

ChatGPT is set to reach 700 million weekly active users, OpenAI previously said. OpenAI on Thursday released GPT-5, unveiling a new version of the artificial intelligence model that fuels popular ...

This study examines how trade shocks that start in one large economy ripple through other countries and how long those effects stick around. Using quarterly bilateral-trade data for 2012-2023, the ...

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of ...

Introduction: The study analyses shrimp industry of Bangladesh, highlighting its growth potential amid challenges such as declining export volumes, quality compliance issues, and competition from ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper investigates dynamic relationships between U.S. government expenditure multipliers and the economy's cyclical ...

Abstract: Dynamic multi-objective optimisation (DMO) handles optimisation problems with multiple (often conflicting) objectives in varying environments. This paper proposes vector autoregressive ...

DeepSeek and OpenAI’s o1 models performed the best across the various benchmarks, but all models still struggle in a range of tasks, so there is much more work to be done. AI models are advancing at a ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at ...