The multi-armed bandit (MAB) problem is a foundational framework in machine learning and decision theory, modeling the trade-off between exploration (gathering more information) and exploitation (making the best decision based….
Transformers have revolutionized natural language processing and other domains by enabling highly parallel, scalable models that capture long-range dependencies in data. They are the backbone of large language models (LLMs)….
Generative models are a class of machine learning models that focus on learning the underlying patterns of a dataset in order to generate new, similar data. You’ve seen classical examples….
As machine learning continues to evolve, researchers constantly look for ways to enhance the performance and capability of neural networks. One of the most exciting frontiers in this effort is….
